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OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks 論文筆記
時間 2020-12-30
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1、解決什麼問題 使用一個卷積網絡同時解決三個問題:分類、定位和檢測(Recognition、Localization and Detection)。這個合成網絡結構是ILSVRC3的winner。並且論文表明,訓練一個卷積網絡同時實現分類、定位和檢測,可以同時提高這三類任務的準確率(定位的功能能夠標出物體,將物體與背景分割開,這樣有利於檢測) 介紹了一種新穎的定位的檢測方法:累加預測邊框(by
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相關文章
1.
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
2.
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks論文閱讀筆記
3.
論文筆記:OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
4.
【OverFeat】《OverFeat:Integrated Recognition, Localization and Detection using Convolutional Networks》
5.
對 OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks 一文的理解...
6.
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks總結
7.
論文筆記1.3——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
8.
論文筆記1——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
9.
RCNN學習筆記(8):OverFeat:Integrated Recognition, Localization and Detection using Convolutional Network
10.
OverFeat 論文筆記
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