update yolo act docs (#1329)

example/auto_compression/pytorch_yolov5/README.md

@@ -24,7 +24,7 @@
 | :-------- |:-------- |:--------: | :---------------------: | :----------------: | :----------------: | :---------------: | :-----------------------------: | :-----------------------------: |
 | YOLOv5s |  Base模型 | 640*640  |  37.4   |   5.95ms  |   2.44ms   |  -  |  - | [Model](https://bj.bcebos.com/v1/paddle-slim-models/detection/yolov5s_infer.tar) |
 | YOLOv5s |  KL离线量化 | 640*640  |  36.0   |   - |   -   |  1.87ms  |  - | - |
-| YOLOv5s |  量化蒸馏训练 | 640*640  |  **36.9**   |   - |   -   |  **1.87ms**  |  [config](./configs/yolov5s_qat_dis.yaml) | [Model](https://bj.bcebos.com/v1/paddle-slim-models/act/yolov5s_quant.tar) |
+| YOLOv5s |  量化蒸馏训练 | 640*640  |  **36.9**   |   - |   -   |  **1.87ms**  |  [config](./configs/yolov5s_qat_dis.yaml) | [Infer Model](https://bj.bcebos.com/v1/paddle-slim-models/act/yolov5s_quant.tar) | [ONNX Model](https://bj.bcebos.com/v1/paddle-slim-models/act/yolov5s_quant.onnx) |
 
 
 说明：

example/auto_compression/pytorch_yolov6/README.md

@@ -24,7 +24,7 @@
 | :-------- |:-------- |:--------: | :---------------------: | :----------------: | :----------------: | :---------------: | :-----------------------------: | :-----------------------------: |
 | YOLOv6s |  Base模型 | 640*640  |  42.4   |   9.06ms  |   2.90ms   |  -  |  - | [Model](https://bj.bcebos.com/v1/paddle-slim-models/act/yolov6s_infer.tar) |
 | YOLOv6s |  KL离线量化 | 640*640  |  30.3   |   - |   -   |  1.83ms  |  - | - |
-| YOLOv6s |  量化蒸馏训练 | 640*640  |  **41.3**   |   - |   -   |  **1.83ms**  |  [config](./configs/yolov6s_qat_dis.yaml) | [Model](https://bj.bcebos.com/v1/paddle-slim-models/act/yolov6s_quant.tar) |
+| YOLOv6s |  量化蒸馏训练 | 640*640  |  **41.3**   |   - |   -   |  **1.83ms**  |  [config](./configs/yolov6s_qat_dis.yaml) | [Infer Model](https://bj.bcebos.com/v1/paddle-slim-models/act/yolov6s_quant.tar) | [ONNX Model](https://bj.bcebos.com/v1/paddle-slim-models/act/yolov6s_quant.onnx) |
 
 说明：
 - mAP的指标均在COCO val2017数据集中评测得到。

example/auto_compression/pytorch_yolov7/README.md

@@ -24,7 +24,7 @@
 | :-------- |:-------- |:--------: | :---------------------: | :----------------: | :----------------: | :---------------: | :-----------------------------: | :-----------------------------: |
 | YOLOv7 |  Base模型 | 640*640  |  51.1   |   26.84ms  |   7.44ms   |  -  |  - | [Model](https://bj.bcebos.com/v1/paddle-slim-models/act/yolov7_infer.tar) |
 | YOLOv7 |  KL离线量化 | 640*640  |  50.2   |   - |   -   |  4.55ms  |  - | - |
-| YOLOv7 |  量化蒸馏训练 | 640*640  |  **50.8**   |   - |   -   |  **4.55ms**  |  [config](./configs/yolov7_qat_dis.yaml) | [Model](https://bj.bcebos.com/v1/paddle-slim-models/act/yolov7_quant.tar) |
+| YOLOv7 |  量化蒸馏训练 | 640*640  |  **50.8**   |   - |   -   |  **4.55ms**  |  [config](./configs/yolov7_qat_dis.yaml) | [Infer Model](https://bj.bcebos.com/v1/paddle-slim-models/act/yolov7_quant.tar) | [ONNX Model](https://bj.bcebos.com/v1/paddle-slim-models/act/yolov7_quant.onnx) |
 
 说明：
 - mAP的指标均在COCO val2017数据集中评测得到。