【ECCV2020 oral】Corner Proposal Network for Anchor-free, Two-stage Object Detection
Corner Proposal Network for Anchor-free, Two-stage Object Detection 這篇文章來自ECCV2020 oral由中國科學院大學和華爲Noah’s Ark Lab實驗室 論文鏈接：https://www.aminer.cn/pub/5f213ebe91e011f62007af97/ 開源代碼：https://github.com/Dua
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- 1. Mining Inter-Video Proposal Relations for Video Object Detection
- 2. CPNDet:Corner Proposal Network for Anchor-free, Two-stage Object Detection(論文閱讀)
- 3. 【paper reading】《Proposal learning for semi-supervised object detection》
- 4. 解讀ECCV2020：Pillar-based Object Detection for Autonomous Driving
- 5. DetNet：A Backbone network for Object Detection
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- 9. Single-Shot Refinement Neural Network for Object Detection[reading notes]
- 10. 論文解讀：Faster R-CNN《Toward Real-Time Object Detection with Region Proposal Network》
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相關文章
- 1. Mining Inter-Video Proposal Relations for Video Object Detection
- 2. CPNDet:Corner Proposal Network for Anchor-free, Two-stage Object Detection(論文閱讀)
- 3. 【paper reading】《Proposal learning for semi-supervised object detection》
- 4. 解讀ECCV2020：Pillar-based Object Detection for Autonomous Driving
- 5. DetNet：A Backbone network for Object Detection
- 6. DetNet: A Backbone network for Object Detection
- 7. Parallel Feature Pyramid Network for Object Detection
- 8. Convolutional Neural Network - Object Detection
- 9. Single-Shot Refinement Neural Network for Object Detection[reading notes]
- 10. 論文解讀：Faster R-CNN《Toward Real-Time Object Detection with Region Proposal Network》