CREST: Convolutional Residual Learning for Visual Tracking
簡介 視覺目標追蹤，CREST，ICCV 2017 在目標跟蹤界泰斗楊明玄教授的指導下，香港城市大學，阿德萊德大學的研究人員提出了基於殘差學習的端到端的深度目標跟蹤算法。 本文已開源，項目地址請查閱：https://ybsong00.github.io/iccv17/index.html Github鏈接：https://github.com/ybsong00/CREST-Release Moti
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相關文章
- 1. CREST: Convolutional Residual Learning for Visual Tracking
- 2. ICCV 2017 CREST：《CREST: Convolutional Residual Learning for Visual Tracking》論文筆記
- 3. 目標跟蹤-CREST: Convolutional Residual Learning for Visual Tracking
- 4. CREST: Convolutional Residual Learning for Visual Tracking ---- 文獻翻譯理解
- 5. Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
- 6. MDNet: Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
- 7. ROLO:Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking
- 8. Learning Spatially Regularized Correlation Filters for Visual Tracking （SRDCF）
- 9. 論文閱讀：MDNet: Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
- 10. Learning Multi-Domain Convolutional Neural Networks for Visual Tracking CVPR 2016 閱讀筆記