CVPR17論文有感：A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection 還是那個老故事，即如何解決Deep檢測跟蹤器訓練時正樣本（尤其在occlusion和deformation情況下的hard positive）不足的問題。這個問題的緊迫性在於這樣樣本的缺失導致訓練所得網絡在occlusion、deformation等ap
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- 1. [論文筆記]A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
- 2. A-Fast-RCNN:Hard Positive Generation via Adversary for Object Detection
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- 4. 閱讀小結：A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
- 5. [深度學習論文筆記][CVPR 17 oral]A-Fast-RCNN： Hard Positive Generation via Adversary for Object Detection
- 6. 對抗學習用於目標檢測--A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
- 7. CVPR 2018 SINT++:《SINT++: Robust Visual Tracking via Adversarial Hard Positive Generation》論文筆記
- 8. Unsupervised Hard Example Mining from Videos for Improved Object Detection論文精讀
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相關文章
- 1. [論文筆記]A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
- 2. A-Fast-RCNN:Hard Positive Generation via Adversary for Object Detection
- 3. A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
- 4. 閱讀小結：A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
- 5. [深度學習論文筆記][CVPR 17 oral]A-Fast-RCNN： Hard Positive Generation via Adversary for Object Detection
- 6. 對抗學習用於目標檢測--A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
- 7. CVPR 2018 SINT++:《SINT++: Robust Visual Tracking via Adversarial Hard Positive Generation》論文筆記
- 8. Unsupervised Hard Example Mining from Videos for Improved Object Detection論文精讀
- 9. Object Detection[論文合集]
- 10. 論文閱讀-《Focal Loss for Dense Object Detection》