【Object Detection】【RCNN】 RCNN 系列研究

1. R-CNN

《R-CNN: Region-based Convolutional Neural Networks》[CVPR’ 14]
code:https://github.com/rbgirshick/rcnn

2. SPP_net

《Spatial pyramid pooling in deep convolutional networks for visual recognition》[ECCV’ 14]
code:https://github.com/ShaoqingRen/SPP_net

3. Fast R-CNN

《Fast R-CNN: Fast Region-based Convolutional Networks for object detection》[ICCV’ 15]
code:https://github.com/rbgirshick/fast-rcnn

4. Faster R-CNN

《Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks》[NIPS’ 15]
code:https://github.com/ShaoqingRen/faster_rcnn
code:https://github.com/rbgirshick/py-faster-rcnn

5. R-FCN

《R-FCN: Object Detection via Region-based Fully Convolutional Networks》[NIPS’ 16]
code:https://github.com/daijifeng001/R-FCN
code:https://github.com/YuwenXiong/py-R-FCN
code:https://github.com/msracver/Deformable-ConvNets

6. Mask R-CNN

《Mask R-CNN》[ICCV’ 17]
code:https://github.com/facebookresearch/Detectron
code:https://github.com/facebookresearch/maskrcnn-benchmark

7. Cascade R-CNN

《Cascade R-CNN: Delving into High Quality Object Detection》[CVPR’ 18]
code:https://github.com/zhaoweicai/cascade-rcnn

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转载自blog.csdn.net/RadiantJeral/article/details/100993008