CVPR18讀文筆記：SINT++：Robust Visual Tracking via Adversarial Postive Instance Generation
CVPR18一共出現了3篇將Adersarial概念應用於tracking，解決正樣本弱的問題。VITAL是用了GAN，驚爲天人。本文國產，索然性能不是最優，但是VAE+DRL+SINT的集大成之作，還是足夠significant。 本文主旨： Improve the robustness of visual tracking through the generation of hard posi
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相關文章
- 1. VITAL: Visual Tracking via Adversarial Learning 閱讀筆記
- 2. CVPR 2018 SINT++:《SINT++: Robust Visual Tracking via Adversarial Hard Positive Generation》論文筆記
- 3. VITAL: VIsual Tracking via Adversarial Learning論文筆記
- 4. CVPR2018讀文筆記：VITAL：VIsual Tracking via Adversarial Learning
- 5. CVPR 2018 VITAL:《VITAL: VIsual Tracking via Adversarial Learning》論文筆記
- 6. 【小白筆記】目標跟蹤VIVAT(Visual Tracking via Adversarial Learning)論文筆記
- 7. Automatic generation of sentimental texts via mixture adversarial networks讀書筆記
- 8. 《Long Text Generation via Adversarial Training with Leaked Information》閱讀筆記
- 9. 論文筆記之《Cell Tracking via Proposal Generation and Selection》
- 10. AAAI2018-Long Text Generation via Adversarial Training with Leaked Information論文筆記