diff --git a/dygraph/configs/dcn/cascade_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml b/dygraph/configs/dcn/cascade_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml
index 9476db8d6ddda3af16b7182e7fc9b65cbdfbf536..19c5ad811b1d0369f7a56ee74986780671061c03 100644
--- a/dygraph/configs/dcn/cascade_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml
+++ b/dygraph/configs/dcn/cascade_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml
@@ -1,7 +1,7 @@
 _BASE_: [
   'cascade_rcnn_dcn_r50_fpn_1x_coco.yml',
 ]
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_vd_64x4d_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNeXt101_vd_64x4d_pretrained.pdparams
 weights: output/cascade_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/dcn/faster_rcnn_dcn_r101_vd_fpn_1x_coco.yml b/dygraph/configs/dcn/faster_rcnn_dcn_r101_vd_fpn_1x_coco.yml
index 1a69fc7f41c9eac37be38a508efede2e231c3d74..274c1710bb11612798c8368e3edd048b4fddad97 100644
--- a/dygraph/configs/dcn/faster_rcnn_dcn_r101_vd_fpn_1x_coco.yml
+++ b/dygraph/configs/dcn/faster_rcnn_dcn_r101_vd_fpn_1x_coco.yml
@@ -1,7 +1,7 @@
 _BASE_: [
   'faster_rcnn_dcn_r50_fpn_1x_coco.yml',
 ]
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet101_vd_pretrained.pdparams
 weights: output/faster_rcnn_dcn_r101_vd_fpn_1x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/dcn/faster_rcnn_dcn_r50_vd_fpn_1x_coco.yml b/dygraph/configs/dcn/faster_rcnn_dcn_r50_vd_fpn_1x_coco.yml
index 4290f566b08721ca9a8daf08d76e34484afe4fa2..735edbbd1e8160467761eb1e79406ac4ed89de9b 100644
--- a/dygraph/configs/dcn/faster_rcnn_dcn_r50_vd_fpn_1x_coco.yml
+++ b/dygraph/configs/dcn/faster_rcnn_dcn_r50_vd_fpn_1x_coco.yml
@@ -1,7 +1,7 @@
 _BASE_: [
   'faster_rcnn_dcn_r50_fpn_1x_coco.yml',
 ]
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_pretrained.pdparams
 weights: output/faster_rcnn_dcn_r50_vd_fpn_2x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/dcn/faster_rcnn_dcn_r50_vd_fpn_2x_coco.yml b/dygraph/configs/dcn/faster_rcnn_dcn_r50_vd_fpn_2x_coco.yml
index b49ce95bbced26a258582ea5eeba09556c7ea520..685d9671068e76139da5212e3059403626843ccc 100644
--- a/dygraph/configs/dcn/faster_rcnn_dcn_r50_vd_fpn_2x_coco.yml
+++ b/dygraph/configs/dcn/faster_rcnn_dcn_r50_vd_fpn_2x_coco.yml
@@ -1,7 +1,7 @@
 _BASE_: [
   'faster_rcnn_dcn_r50_fpn_1x_coco.yml',
 ]
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_pretrained.pdparams
 weights: output/faster_rcnn_dcn_r50_vd_fpn_2x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/dcn/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml b/dygraph/configs/dcn/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml
index e826d6afe02c46025a068928d7bf262d4770e9f6..2b09c7e15c01813dfdaeacc08b56ff03c807b1dc 100644
--- a/dygraph/configs/dcn/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml
+++ b/dygraph/configs/dcn/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml
@@ -1,7 +1,7 @@
 _BASE_: [
   'faster_rcnn_dcn_r50_fpn_1x_coco.yml',
 ]
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_vd_64x4d_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNeXt101_vd_64x4d_pretrained.pdparams
 weights: output/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/dcn/mask_rcnn_dcn_r101_vd_fpn_1x_coco.yml b/dygraph/configs/dcn/mask_rcnn_dcn_r101_vd_fpn_1x_coco.yml
index 6413ccc53ddc017373c42f0d0276f2acae398ccb..930bd89875e360374aed7a970989878cc63c34c0 100644
--- a/dygraph/configs/dcn/mask_rcnn_dcn_r101_vd_fpn_1x_coco.yml
+++ b/dygraph/configs/dcn/mask_rcnn_dcn_r101_vd_fpn_1x_coco.yml
@@ -1,7 +1,7 @@
 _BASE_: [
   'mask_rcnn_dcn_r50_fpn_1x_coco.yml',
 ]
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet101_vd_pretrained.pdparams
 weights: output/mask_rcnn_dcn_r101_vd_fpn_1x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/dcn/mask_rcnn_dcn_r50_vd_fpn_2x_coco.yml b/dygraph/configs/dcn/mask_rcnn_dcn_r50_vd_fpn_2x_coco.yml
index 4793dfd06b3c2e93fb4130b3f227d437d834ec35..d36b5f56f0c790b9eb6aa7e9f7778057a66fc1be 100644
--- a/dygraph/configs/dcn/mask_rcnn_dcn_r50_vd_fpn_2x_coco.yml
+++ b/dygraph/configs/dcn/mask_rcnn_dcn_r50_vd_fpn_2x_coco.yml
@@ -1,7 +1,7 @@
 _BASE_: [
   'mask_rcnn_dcn_r50_fpn_1x_coco.yml',
 ]
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_pretrained.pdparams
 weights: output/mask_rcnn_dcn_r50_vd_fpn_2x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/dcn/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml b/dygraph/configs/dcn/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml
index 72335c3c28ca1f772c900cfddcc77afbb2647b2d..933e21f3fae41ed6978256c7e786bb9426696ae7 100644
--- a/dygraph/configs/dcn/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml
+++ b/dygraph/configs/dcn/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml
@@ -1,7 +1,7 @@
 _BASE_: [
   'mask_rcnn_dcn_r50_fpn_1x_coco.yml',
 ]
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_vd_64x4d_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNeXt101_vd_64x4d_pretrained.pdparams
 weights: output/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/faster_rcnn/faster_rcnn_r101_1x_coco.yml b/dygraph/configs/faster_rcnn/faster_rcnn_r101_1x_coco.yml
index 93c3deace5a34bd7f556e100d851d397c5c9b585..8876426fb6d6d4f5b89c39e050f1331520d02656 100644
--- a/dygraph/configs/faster_rcnn/faster_rcnn_r101_1x_coco.yml
+++ b/dygraph/configs/faster_rcnn/faster_rcnn_r101_1x_coco.yml
@@ -2,7 +2,7 @@ _BASE_: [
   'faster_rcnn_r50_1x_coco.yml',
 ]
 
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet101_pretrained.pdparams
 weights: output/faster_rcnn_r101_1x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/faster_rcnn/faster_rcnn_r101_fpn_1x_coco.yml b/dygraph/configs/faster_rcnn/faster_rcnn_r101_fpn_1x_coco.yml
index 94166c695fcad85393c9233645c7e48dbcd59f17..a2e5ee527b60e95b121959492dba1855337467c9 100644
--- a/dygraph/configs/faster_rcnn/faster_rcnn_r101_fpn_1x_coco.yml
+++ b/dygraph/configs/faster_rcnn/faster_rcnn_r101_fpn_1x_coco.yml
@@ -2,7 +2,7 @@ _BASE_: [
   'faster_rcnn_r50_fpn_1x_coco.yml',
 ]
 
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet101_pretrained.pdparams
 weights: output/faster_rcnn_r101_fpn_1x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/faster_rcnn/faster_rcnn_r101_fpn_2x_coco.yml b/dygraph/configs/faster_rcnn/faster_rcnn_r101_fpn_2x_coco.yml
index 540f1fe6a176f0d1508fe0e72d33bc3d634a6cac..0a07dec75890977c9d717cce4a704dad59cec237 100644
--- a/dygraph/configs/faster_rcnn/faster_rcnn_r101_fpn_2x_coco.yml
+++ b/dygraph/configs/faster_rcnn/faster_rcnn_r101_fpn_2x_coco.yml
@@ -2,7 +2,7 @@ _BASE_: [
   'faster_rcnn_r50_fpn_1x_coco.yml',
 ]
 
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet101_pretrained.pdparams
 weights: output/faster_rcnn_r101_fpn_2x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/faster_rcnn/faster_rcnn_r101_vd_fpn_1x_coco.yml b/dygraph/configs/faster_rcnn/faster_rcnn_r101_vd_fpn_1x_coco.yml
index 38f564cef1fda078df6dea13f85ffa947667bbb7..32e308b86ef9937601d29c9026dafd7650d86080 100644
--- a/dygraph/configs/faster_rcnn/faster_rcnn_r101_vd_fpn_1x_coco.yml
+++ b/dygraph/configs/faster_rcnn/faster_rcnn_r101_vd_fpn_1x_coco.yml
@@ -1,7 +1,7 @@
 _BASE_: [
   'faster_rcnn_r50_fpn_1x_coco.yml',
 ]
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet101_vd_pretrained.pdparams
 weights: output/faster_rcnn_r101_vd_fpn_1x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/faster_rcnn/faster_rcnn_r101_vd_fpn_2x_coco.yml b/dygraph/configs/faster_rcnn/faster_rcnn_r101_vd_fpn_2x_coco.yml
index 8ac6aca88ea3580b30bed886a26bc498b733fa97..65b8226b9ec8f493fcdb6e82e5f6f9bba903cecf 100644
--- a/dygraph/configs/faster_rcnn/faster_rcnn_r101_vd_fpn_2x_coco.yml
+++ b/dygraph/configs/faster_rcnn/faster_rcnn_r101_vd_fpn_2x_coco.yml
@@ -1,7 +1,7 @@
 _BASE_: [
   'faster_rcnn_r50_fpn_1x_coco.yml',
 ]
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet101_vd_pretrained.pdparams
 weights: output/faster_rcnn_r101_vd_fpn_2x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/faster_rcnn/faster_rcnn_r34_fpn_1x_coco.yml b/dygraph/configs/faster_rcnn/faster_rcnn_r34_fpn_1x_coco.yml
index b75bd40b31b9867f56310c3fcba05d9d31169748..f1083528578c8ea681f4a550c6726fad31214d16 100644
--- a/dygraph/configs/faster_rcnn/faster_rcnn_r34_fpn_1x_coco.yml
+++ b/dygraph/configs/faster_rcnn/faster_rcnn_r34_fpn_1x_coco.yml
@@ -2,7 +2,7 @@ _BASE_: [
   'faster_rcnn_r50_fpn_1x_coco.yml',
 ]
 
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet34_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet34_pretrained.pdparams
 weights: output/faster_rcnn_r34_fpn_1x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/faster_rcnn/faster_rcnn_r34_vd_fpn_1x_coco.yml b/dygraph/configs/faster_rcnn/faster_rcnn_r34_vd_fpn_1x_coco.yml
index c8ae2a681e0476d3794addff5d32d69fcd964f2d..5cf576b6384ec25bb92fd40705cac8b6196ca793 100644
--- a/dygraph/configs/faster_rcnn/faster_rcnn_r34_vd_fpn_1x_coco.yml
+++ b/dygraph/configs/faster_rcnn/faster_rcnn_r34_vd_fpn_1x_coco.yml
@@ -2,7 +2,7 @@ _BASE_: [
   'faster_rcnn_r50_fpn_1x_coco.yml',
 ]
 
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet34_vd_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet34_vd_pretrained.pdparams
 weights: output/faster_rcnn_r34_vd_fpn_1x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/faster_rcnn/faster_rcnn_r50_vd_1x_coco.yml b/dygraph/configs/faster_rcnn/faster_rcnn_r50_vd_1x_coco.yml
index f0a0d8216ec6cd3b92bcf3064c3e36c938a58dc5..ac0e720499ad204ad3a09785ac30ac6e6b1ef21c 100644
--- a/dygraph/configs/faster_rcnn/faster_rcnn_r50_vd_1x_coco.yml
+++ b/dygraph/configs/faster_rcnn/faster_rcnn_r50_vd_1x_coco.yml
@@ -1,7 +1,7 @@
 _BASE_: [
   'faster_rcnn_r50_1x_coco.yml',
 ]
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_pretrained.pdparams
 weights: output/faster_rcnn_r50_vd_1x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_1x_coco.yml b/dygraph/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_1x_coco.yml
index bbbf44c53c2e0c674296aa2975a8af439d1d6ece..6bf9d7101ee9a89b2c480e04bb3279d608c2f9e3 100644
--- a/dygraph/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_1x_coco.yml
+++ b/dygraph/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_1x_coco.yml
@@ -1,7 +1,7 @@
 _BASE_: [
   'faster_rcnn_r50_fpn_1x_coco.yml',
 ]
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_pretrained.pdparams
 weights: output/faster_rcnn_r50_vd_fpn_1x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_2x_coco.yml b/dygraph/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_2x_coco.yml
index 34f496e3f9c6e5addf8171f5e28d790dcd770a85..7fc3a883574a6694b5379b21a38be7de354ee6df 100644
--- a/dygraph/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_2x_coco.yml
+++ b/dygraph/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_2x_coco.yml
@@ -1,7 +1,7 @@
 _BASE_: [
   'faster_rcnn_r50_fpn_1x_coco.yml',
 ]
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_pretrained.pdparams
 weights: output/faster_rcnn_r50_vd_fpn_2x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/faster_rcnn/faster_rcnn_x101_vd_64x4d_fpn_1x_coco.yml b/dygraph/configs/faster_rcnn/faster_rcnn_x101_vd_64x4d_fpn_1x_coco.yml
index 68c2c4e8a422c5866c2db2264429031aa8fa233b..20e38b762144c6f9515cbb52abf676fa4415713e 100644
--- a/dygraph/configs/faster_rcnn/faster_rcnn_x101_vd_64x4d_fpn_1x_coco.yml
+++ b/dygraph/configs/faster_rcnn/faster_rcnn_x101_vd_64x4d_fpn_1x_coco.yml
@@ -2,7 +2,7 @@ _BASE_: [
   'faster_rcnn_r50_fpn_1x_coco.yml',
 ]
 
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_vd_64x4d_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNeXt101_vd_64x4d_pretrained.pdparams
 weights: output/faster_rcnn_x101_vd_64x4d_fpn_1x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/faster_rcnn/faster_rcnn_x101_vd_64x4d_fpn_2x_coco.yml b/dygraph/configs/faster_rcnn/faster_rcnn_x101_vd_64x4d_fpn_2x_coco.yml
index b4831719f06b5f547cc76e9cf7d5d9d03db4c158..82e0b39f275a88754ab751bac10309b0f0b2948b 100644
--- a/dygraph/configs/faster_rcnn/faster_rcnn_x101_vd_64x4d_fpn_2x_coco.yml
+++ b/dygraph/configs/faster_rcnn/faster_rcnn_x101_vd_64x4d_fpn_2x_coco.yml
@@ -2,7 +2,7 @@ _BASE_: [
   'faster_rcnn_r50_fpn_1x_coco.yml',
 ]
 
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_vd_64x4d_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNeXt101_vd_64x4d_pretrained.pdparams
 weights: output/faster_rcnn_x101_vd_64x4d_fpn_2x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/mask_rcnn/mask_rcnn_r101_fpn_1x_coco.yml b/dygraph/configs/mask_rcnn/mask_rcnn_r101_fpn_1x_coco.yml
index 77f24e9d6616600e85f5c642843b2f090db365ed..aae703c194db64158587baf86d3e6aca60bd8923 100644
--- a/dygraph/configs/mask_rcnn/mask_rcnn_r101_fpn_1x_coco.yml
+++ b/dygraph/configs/mask_rcnn/mask_rcnn_r101_fpn_1x_coco.yml
@@ -1,7 +1,7 @@
 _BASE_: [
   'mask_rcnn_r50_fpn_1x_coco.yml',
 ]
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet101_pretrained.pdparams
 weights: output/mask_rcnn_r101_fpn_1x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/mask_rcnn/mask_rcnn_r101_vd_fpn_1x_coco.yml b/dygraph/configs/mask_rcnn/mask_rcnn_r101_vd_fpn_1x_coco.yml
index 2205f1a61ba18233a981aa9c3551924f49d2a135..58d7a7884d7886c39544ee56bf445590122d0acc 100644
--- a/dygraph/configs/mask_rcnn/mask_rcnn_r101_vd_fpn_1x_coco.yml
+++ b/dygraph/configs/mask_rcnn/mask_rcnn_r101_vd_fpn_1x_coco.yml
@@ -1,7 +1,7 @@
 _BASE_: [
   'mask_rcnn_r50_fpn_1x_coco.yml',
 ]
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet101_vd_pretrained.pdparams
 weights: output/mask_rcnn_r101_vd_fpn_1x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_1x_coco.yml b/dygraph/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_1x_coco.yml
index dcf62134e92fa8a029eb12479822748d5ed9808d..d5387417b4bfac35a71b3edf8f062a751dcae3b3 100644
--- a/dygraph/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_1x_coco.yml
+++ b/dygraph/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_1x_coco.yml
@@ -2,7 +2,7 @@ _BASE_: [
   'mask_rcnn_r50_fpn_1x_coco.yml',
 ]
 
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_pretrained.pdparams
 weights: output/mask_rcnn_r50_vd_fpn_1x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_2x_coco.yml b/dygraph/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_2x_coco.yml
index 618fe5dc6e9d98e50548b2483de4268238fbbfc3..f85f0299cc2358ca08c548fd3c68eefd108f3d1f 100644
--- a/dygraph/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_2x_coco.yml
+++ b/dygraph/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_2x_coco.yml
@@ -2,7 +2,7 @@ _BASE_: [
   'mask_rcnn_r50_fpn_1x_coco.yml',
 ]
 
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_pretrained.pdparams
 weights: output/mask_rcnn_r50_vd_fpn_2x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_1x_coco.yml b/dygraph/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_1x_coco.yml
index 9c83e259d37ae2973983ef16e40b0fb603555de3..c318e1d2a8885a6fae920b95efbb3971b271bccd 100644
--- a/dygraph/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_1x_coco.yml
+++ b/dygraph/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_1x_coco.yml
@@ -2,7 +2,7 @@ _BASE_: [
   'mask_rcnn_r50_fpn_1x_coco.yml',
 ]
 
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_vd_64x4d_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNeXt101_vd_64x4d_pretrained.pdparams
 weights: output/mask_rcnn_x101_vd_64x4d_fpn_1x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_2x_coco.yml b/dygraph/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_2x_coco.yml
index 07c097e9a6e5dfd7000661d5ce820f63201de5a3..501c618a690e73f004cc04f9abd8f5dc2d493ff6 100644
--- a/dygraph/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_2x_coco.yml
+++ b/dygraph/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_2x_coco.yml
@@ -2,7 +2,7 @@ _BASE_: [
   'mask_rcnn_r50_fpn_1x_coco.yml',
 ]
 
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_vd_64x4d_pretrained.tar
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNeXt101_vd_64x4d_pretrained.pdparams
 weights: output/mask_rcnn_x101_vd_64x4d_fpn_2x_coco/model_final
 
 ResNet:
diff --git a/dygraph/configs/slim/prune/yolov3_prune_fpgm.yml b/dygraph/configs/slim/prune/yolov3_prune_fpgm.yml
index a1c72fde697606868596142ce4a99025f8157a3e..ed9495a73e4fbacbe20bbeb3093f2a7a406ea9e6 100644
--- a/dygraph/configs/slim/prune/yolov3_prune_fpgm.yml
+++ b/dygraph/configs/slim/prune/yolov3_prune_fpgm.yml
@@ -1,5 +1,5 @@
 # Weights of yolov3_mobilenet_v1_voc
-pretrain_weights: https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v1_270e_voc.pdparams
+pretrain_weights: https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_voc.pdparams
 weight_type: resume
 slim: Pruner
 
diff --git a/dygraph/configs/slim/prune/yolov3_prune_l1_norm.yml b/dygraph/configs/slim/prune/yolov3_prune_l1_norm.yml
index 313ee541d99f896926fffc47ca54f999c8bccb2d..db2a616daab7087e4b02c76c72df34c3a6a7937f 100644
--- a/dygraph/configs/slim/prune/yolov3_prune_l1_norm.yml
+++ b/dygraph/configs/slim/prune/yolov3_prune_l1_norm.yml
@@ -1,5 +1,5 @@
 # Weights of yolov3_mobilenet_v1_voc
-pretrain_weights: https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v1_270e_voc.pdparams
+pretrain_weights: https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_voc.pdparams
 weight_type: resume
 slim: Pruner
 
diff --git a/dygraph/configs/slim/quant/yolov3_mobilenet_v1_qat.yml b/dygraph/configs/slim/quant/yolov3_mobilenet_v1_qat.yml
index f168f40ea47b79d03771c006c6cf7619630763c3..dfa365c10f581499192fc043031087971e8a44f8 100644
--- a/dygraph/configs/slim/quant/yolov3_mobilenet_v1_qat.yml
+++ b/dygraph/configs/slim/quant/yolov3_mobilenet_v1_qat.yml
@@ -1,5 +1,5 @@
 # Weights of yolov3_mobilenet_v1_coco
-pretrain_weights: https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v1_270e_coco.pdparams
+pretrain_weights: https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams
 weight_type: resume
 slim: QAT
 
diff --git a/dygraph/configs/slim/quant/yolov3_mobilenet_v3_qat.yml b/dygraph/configs/slim/quant/yolov3_mobilenet_v3_qat.yml
index 34a07449876c4f5815222be13dcf3fe4d5f48314..288e72a10ec05c9753c588eda26e474b2ffc8afa 100644
--- a/dygraph/configs/slim/quant/yolov3_mobilenet_v3_qat.yml
+++ b/dygraph/configs/slim/quant/yolov3_mobilenet_v3_qat.yml
@@ -1,5 +1,5 @@
 # Weights of yolov3_mobilenet_v3_coco
-pretrain_weights: https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v3_large_270e_coco.pdparams
+pretrain_weights: https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_270e_coco.pdparams
 weight_type: resume
 slim: QAT
 
diff --git a/dygraph/configs/ssd/_base_/ssd_vgg16_300.yml b/dygraph/configs/ssd/_base_/ssd_vgg16_300.yml
index 3b9f039a5e2a99396ba0845c9f90e7b06fe3bf21..59821054d9ba3005f6e75b3da38255c1fba187f1 100644
--- a/dygraph/configs/ssd/_base_/ssd_vgg16_300.yml
+++ b/dygraph/configs/ssd/_base_/ssd_vgg16_300.yml
@@ -1,5 +1,5 @@
 architecture: SSD
-pretrain_weights: https://paddlemodels.bj.bcebos.com/object_detection/dygraph/VGG16_caffe_pretrained.pdparams
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/VGG16_caffe_pretrained.pdparams
 
 # Model Achitecture
 SSD:
diff --git a/dygraph/configs/yolov3/yolov3_mobilenet_v1_roadsign.yml b/dygraph/configs/yolov3/yolov3_mobilenet_v1_roadsign.yml
index 36936e1976f0d152150ff6c613a2f97b4c25d731..c79397ddd1004de0508b885aeb3913dbdda9cef3 100644
--- a/dygraph/configs/yolov3/yolov3_mobilenet_v1_roadsign.yml
+++ b/dygraph/configs/yolov3/yolov3_mobilenet_v1_roadsign.yml
@@ -4,7 +4,7 @@ _BASE_: [
   '_base_/yolov3_mobilenet_v1.yml',
   '_base_/yolov3_reader.yml',
 ]
-pretrain_weights: https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v1_270e_coco.pdparams
+pretrain_weights: https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams
 norm_type: sync_bn
 weights: output/yolov3_mobilenet_v1_roadsign/model_final
 metric: VOC
diff --git a/dygraph/ppdet/engine/trainer.py b/dygraph/ppdet/engine/trainer.py
index 2d409805aae351ed780adfa2446b8161420b52e7..57c16e4b8c74fd2fa65ef2b086b42a7224188c60 100644
--- a/dygraph/ppdet/engine/trainer.py
+++ b/dygraph/ppdet/engine/trainer.py
@@ -58,7 +58,7 @@ class Trainer(object):
         # model slim build
         if 'slim' in cfg and cfg.slim:
             if self.mode == 'train':
-                self.load_weights(cfg.pretrain_weights, cfg.weight_type)
+                self.load_weights(cfg.pretrain_weights)
             self.slim = create(cfg.slim)
             self.slim(self.model)
 
@@ -174,17 +174,14 @@ class Trainer(object):
                     "metrics shoule be instances of subclass of Metric"
         self._metrics.extend(metrics)
 
-    def load_weights(self, weights, weight_type='pretrain'):
-        assert weight_type in ['pretrain', 'resume', 'finetune'], \
-                "weight_type can only be 'pretrain', 'resume', 'finetune'"
-        if weight_type == 'resume':
-            self.start_epoch = load_weight(self.model, weights, self.optimizer)
-            logger.debug("Resume weights of epoch {}".format(self.start_epoch))
-        else:
-            self.start_epoch = 0
-            load_pretrain_weight(self.model, weights, weight_type)
-            logger.debug("Load {} weights {} to start training".format(
-                weight_type, weights))
+    def load_weights(self, weights):
+        self.start_epoch = 0
+        load_pretrain_weight(self.model, weights)
+        logger.debug("Load weights {} to start training".format(weights))
+
+    def resume_weights(self, weights):
+        self.start_epoch = load_weight(self.model, weights, self.optimizer)
+        logger.debug("Resume weights of epoch {}".format(self.start_epoch))
 
     def train(self, validate=False):
         assert self.mode == 'train', "Model not in 'train' mode"
diff --git a/dygraph/ppdet/utils/checkpoint.py b/dygraph/ppdet/utils/checkpoint.py
index 193f415ad95f2dffef43a942f1e697f128f2e639..f70cad4fce8c6bb32bde9ae577621e1b69b25334 100644
--- a/dygraph/ppdet/utils/checkpoint.py
+++ b/dygraph/ppdet/utils/checkpoint.py
@@ -123,8 +123,7 @@ def load_weight(model, weight, optimizer=None):
     assert incorrect_keys == 0, "Load weight {} incorrectly, \
             {} keys unmatched, please check again.".format(weight,
                                                            incorrect_keys)
-    logger.info('Finish loading model weight parameter: {}'.format(
-        pdparam_path))
+    logger.info('Finish resuming model weights: {}'.format(pdparam_path))
 
     model.set_dict(model_weight)
 
@@ -142,9 +141,7 @@ def load_weight(model, weight, optimizer=None):
     return last_epoch
 
 
-def load_pretrain_weight(model, pretrain_weight, weight_type='pretrain'):
-
-    assert weight_type in ['pretrain', 'finetune']
+def load_pretrain_weight(model, pretrain_weight):
     if is_url(pretrain_weight):
         pretrain_weight = get_weights_path_dist(pretrain_weight)
 
@@ -158,24 +155,27 @@ def load_pretrain_weight(model, pretrain_weight, weight_type='pretrain'):
 
     model_dict = model.state_dict()
 
-    param_state_dict = paddle.load(path + '.pdparams')
-    if weight_type == 'pretrain':
-        model.backbone.set_dict(param_state_dict)
-    else:
-        ignore_set = set()
-        for name, weight in model_dict.items():
-            if name in param_state_dict.keys():
-                if weight.shape != list(param_state_dict[name].shape):
-                    logger.info(
-                        '{} not used, shape {} unmatched with {} in model.'.
-                        format(name,
-                               list(param_state_dict[name].shape),
-                               weight.shape))
-                    param_state_dict.pop(name, None)
-            else:
-                logger.info('Lack weight: {}'.format(name))
-        model.set_dict(param_state_dict)
-    return
+    weights_path = path + '.pdparams'
+    param_state_dict = paddle.load(weights_path)
+    ignore_set = set()
+    lack_modules = set()
+    for name, weight in model_dict.items():
+        if name in param_state_dict.keys():
+            if weight.shape != list(param_state_dict[name].shape):
+                logger.info(
+                    '{} not used, shape {} unmatched with {} in model.'.format(
+                        name, list(param_state_dict[name].shape), weight.shape))
+                param_state_dict.pop(name, None)
+        else:
+            lack_modules.add(name.split('.')[0])
+            logger.debug('Lack weights: {}'.format(name))
+
+    if len(lack_modules) > 0:
+        logger.info('Lack weights of modules: {}'.format(', '.join(
+            list(lack_modules))))
+
+    model.set_dict(param_state_dict)
+    logger.info('Finish loading model weights: {}'.format(weights_path))
 
 
 def save_model(model, optimizer, save_dir, save_name, last_epoch):
diff --git a/dygraph/ppdet/utils/download.py b/dygraph/ppdet/utils/download.py
index 858ce035ddff8479ad06c1e900ec42de3956827a..3b50ddd010d1263b30199350418f2d02c085f497 100644
--- a/dygraph/ppdet/utils/download.py
+++ b/dygraph/ppdet/utils/download.py
@@ -92,7 +92,7 @@ DATASETS = {
 
 DOWNLOAD_RETRY_LIMIT = 3
 
-PPDET_WEIGHTS_DOWNLOAD_URL_PREFIX = 'https://paddlemodels.bj.bcebos.com/object_detection/'
+PPDET_WEIGHTS_DOWNLOAD_URL_PREFIX = 'https://paddledet.bj.bcebos.com/'
 
 
 def parse_url(url):
diff --git a/dygraph/tools/eval.py b/dygraph/tools/eval.py
index 877d06322b98d39ea7f8f93e1a5e7e095e7a89c0..8b0064762d4cbbad8bc0b6461ee289a60d1eec72 100755
--- a/dygraph/tools/eval.py
+++ b/dygraph/tools/eval.py
@@ -93,7 +93,7 @@ def run(FLAGS, cfg):
     trainer = Trainer(cfg, mode='eval')
 
     # load weights
-    trainer.load_weights(cfg.weights, 'resume')
+    trainer.load_weights(cfg.weights)
 
     # training
     trainer.evaluate()
diff --git a/dygraph/tools/export_model.py b/dygraph/tools/export_model.py
index 656c362e41da3ecd8e8fea2352e5a545a885ce32..d04422873d06e49e2de596d09496c91778251532 100644
--- a/dygraph/tools/export_model.py
+++ b/dygraph/tools/export_model.py
@@ -62,7 +62,7 @@ def run(FLAGS, cfg):
     trainer = Trainer(cfg, mode='test')
 
     # load weights
-    trainer.load_weights(cfg.weights, 'resume')
+    trainer.load_weights(cfg.weights)
 
     # export model
     trainer.export(FLAGS.output_dir)
diff --git a/dygraph/tools/infer.py b/dygraph/tools/infer.py
index 06a11c28e21ac3ab0b9dbd87487502c3877d925a..9226e1eea84c0ca15d14b917623b193b5edcb779 100755
--- a/dygraph/tools/infer.py
+++ b/dygraph/tools/infer.py
@@ -114,7 +114,7 @@ def run(FLAGS, cfg):
     trainer = Trainer(cfg, mode='test')
 
     # load weights
-    trainer.load_weights(cfg.weights, 'resume')
+    trainer.load_weights(cfg.weights)
 
     # get inference images
     images = get_test_images(FLAGS.infer_dir, FLAGS.infer_img)
diff --git a/dygraph/tools/train.py b/dygraph/tools/train.py
index 9fd55706c8d3453b5616a47d315f19445387de3c..e7efcd07a30a729435437ae5db1a780f5fc6d7b2 100755
--- a/dygraph/tools/train.py
+++ b/dygraph/tools/train.py
@@ -43,17 +43,13 @@ logger = setup_logger('train')
 
 def parse_args():
     parser = cli.ArgsParser()
-    parser.add_argument(
-        "--weight_type",
-        default='pretrain',
-        type=str,
-        help="Loading Checkpoints only support 'pretrain', 'finetune', 'resume'."
-    )
     parser.add_argument(
         "--eval",
         action='store_true',
         default=False,
         help="Whether to perform evaluation in train")
+    parser.add_argument(
+        "-r", "--resume", default=None, help="weights path for resume")
     parser.add_argument(
         "--slim_config",
         default=None,
@@ -101,8 +97,10 @@ def run(FLAGS, cfg):
     trainer = Trainer(cfg, mode='train')
 
     # load weights
-    if not FLAGS.slim_config and 'pretrain_weights' in cfg and cfg.pretrain_weights:
-        trainer.load_weights(cfg.pretrain_weights, FLAGS.weight_type)
+    if FLAGS.resume is not None:
+        trainer.resume_weights(FLAGS.resume)
+    elif not FLAGS.slim_config and 'pretrain_weights' in cfg and cfg.pretrain_weights:
+        trainer.load_weights(cfg.pretrain_weights)
 
     # training
     trainer.train(FLAGS.eval)
@@ -120,8 +118,6 @@ def main():
     if FLAGS.slim_config:
         slim_cfg = load_config(FLAGS.slim_config)
         merge_config(slim_cfg)
-        if 'weight_type' not in cfg:
-            cfg.weight_type = FLAGS.weight_type
     check.check_config(cfg)
     check.check_gpu(cfg.use_gpu)
     check.check_version()