From 9504ed548d75db34abfd0128cd8dbcf0bda14a22 Mon Sep 17 00:00:00 2001 From: littletomatodonkey <2120160898@bit.edu.cn> Date: Mon, 18 May 2020 13:46:58 +0800 Subject: [PATCH] [cherry-pick]add rcnn model doc. (#710) * Add rcnn model doc. --- configs/gcnet/README_cn.md | 69 ++++++++++ configs/iou_loss/README_cn.md | 126 ++++++++++++++++++ configs/libra_rcnn/README_cn.md | 75 +++++++++++ docs/images/models/gcnet_gcblock_module.png | Bin 0 -> 79868 bytes docs/images/models/gcnet_snl_module.png | Bin 0 -> 99811 bytes .../images/models/gcnet_snl_module_simple.png | Bin 0 -> 61937 bytes docs/images/models/gcnet_snl_out.png | Bin 0 -> 20380 bytes docs/images/models/gcnet_snl_out_simple.png | Bin 0 -> 19126 bytes .../images/models/iou_loss_diou_bbox_loss.png | Bin 0 -> 6946 bytes docs/images/models/iou_loss_diou_ciou_nms.png | Bin 0 -> 19173 bytes .../models/iou_loss_diou_diou_final.png | Bin 0 -> 10563 bytes .../models/iou_loss_diou_rciou_penalty.png | Bin 0 -> 8890 bytes .../models/iou_loss_diou_rdiou_penalty.png | Bin 0 -> 8049 bytes .../models/iou_loss_diou_v_and_alpha.png | Bin 0 -> 19523 bytes docs/images/models/iou_loss_giou_calc.png | Bin 0 -> 79248 bytes docs/images/models/iou_loss_giou_pipeline.png | Bin 0 -> 211972 bytes .../models/libra_rcnn_iou_distribution.png | Bin 0 -> 101780 bytes .../models/libra_rcnn_libraloss_equ.png | Bin 0 -> 17146 bytes docs/images/models/libra_rcnn_loss_grad.png | Bin 0 -> 115411 bytes docs/images/models/libra_rcnn_pipeline.png | Bin 0 -> 267184 bytes .../models/libra_rcnn_smooth_l1_equ.png | Bin 0 -> 20083 bytes 21 files changed, 270 insertions(+) create mode 100644 configs/gcnet/README_cn.md create mode 100644 configs/iou_loss/README_cn.md create mode 100644 configs/libra_rcnn/README_cn.md create mode 100644 docs/images/models/gcnet_gcblock_module.png create mode 100644 docs/images/models/gcnet_snl_module.png create mode 100644 docs/images/models/gcnet_snl_module_simple.png create mode 100644 docs/images/models/gcnet_snl_out.png create mode 100644 docs/images/models/gcnet_snl_out_simple.png create mode 100644 docs/images/models/iou_loss_diou_bbox_loss.png create mode 100644 docs/images/models/iou_loss_diou_ciou_nms.png create mode 100644 docs/images/models/iou_loss_diou_diou_final.png create mode 100644 docs/images/models/iou_loss_diou_rciou_penalty.png create mode 100644 docs/images/models/iou_loss_diou_rdiou_penalty.png create mode 100644 docs/images/models/iou_loss_diou_v_and_alpha.png create mode 100644 docs/images/models/iou_loss_giou_calc.png create mode 100644 docs/images/models/iou_loss_giou_pipeline.png create mode 100644 docs/images/models/libra_rcnn_iou_distribution.png create mode 100644 docs/images/models/libra_rcnn_libraloss_equ.png create mode 100644 docs/images/models/libra_rcnn_loss_grad.png create mode 100644 docs/images/models/libra_rcnn_pipeline.png create mode 100644 docs/images/models/libra_rcnn_smooth_l1_equ.png diff --git a/configs/gcnet/README_cn.md b/configs/gcnet/README_cn.md new file mode 100644 index 000000000..795e62ef6 --- /dev/null +++ b/configs/gcnet/README_cn.md @@ -0,0 +1,69 @@ +# GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond + +## 简介 + +Nonlocal基于自注意力机制,给出了捕捉长时依赖的方法,但是在该论文中,作者通过可视化分析发现,相同图像中对于不同位置点的attention map几乎是一致的,也就是说在Nonlocal计算过程中有很大的资源浪费(冗余计算)。SENet使用全局上下文对不同的通道进行权重标定,计算量很小,但是这样无法充分利用全局上下文信息。论文中作者结合了Nonlocal和SENet两者的优点,提出了GCNet模块,在保证较小计算量的情况下,很好地融合了全局上下文信息。 + +论文中基于attention map差距很小的现象,设计了simplified nonlocal结构(SNL),结构如下图所示,对所有位置共享全局attention map。 + +
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