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
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
- 更多相關文章...
- • Swift for 循環 - Swift 教程
- • Scala for循環 - Scala教程
- • Java Agent入門實戰（三）-JVM Attach原理與使用
- • Java Agent入門實戰（一）-Instrumentation介紹與使用
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
- 1. 升級Gradle後報錯Gradle‘s dependency cache may be corrupt (this sometimes occurs
- 2. Smarter, Not Harder
- 3. mac-2019-react-native 本地環境搭建(xcode-11.1和android studio3.5.2中Genymotion2.12.1 和VirtualBox-5.2.34 )
- 4. 查看文件中關鍵字前後幾行的內容
- 5. XXE萌新進階全攻略
- 6. Installation failed due to: ‘Connection refused: connect‘安卓studio端口占用
- 7. zabbix5.0通過agent監控winserve12
- 8. IT行業UI前景、潛力如何？
- 9. Mac Swig 3.0.12 安裝
- 10. Windows上FreeRDP-WebConnect是一個開源HTML5代理，它提供對使用RDP的任何Windows服務器和工作站的Web訪問
歡迎關注本站公眾號,獲取更多信息
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