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Localization and Object Detection
時間 2020-12-24
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CNN
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Localization 思路1:看作迴歸問題 首先考慮單個物體的檢測,對單個物體的分類來說,已經很清楚了,在網絡的最後一層加上softmax層或者multi-svm即可。對於檢測問題,我們需要獲得矩形邊框的位置,一個簡單的思路是將這個問題看作迴歸問題(x, y, w, h),所以很簡單將分類問題的最終一層換爲regression即可。 其基本思路是: (1)訓練一個分類網絡(Alex net,
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相關文章
1.
Online Object Detection and Localization on Stereo Visual SLAM System
2.
(Review cs231n) Spatial Localization and Detection(classification and localization)
3.
目標檢測分類和定位:Rethinking Classification and Localization for Object Detection
4.
《Double-Head RCNN: Rethinking Classification and Localization for Object Detection》論文詳解
5.
【OverFeat】《OverFeat:Integrated Recognition, Localization and Detection using Convolutional Networks》
6.
Acquisition of Localization Confidence for Accurate Object Detection
7.
DenseBox: Unifying Landmark Localization with End to End Object Detection
8.
DL-semantic segmentation/Classification+Localization/Object Detection/Instance Segmentation
9.
【CS231n筆記】08 Spatial Localization and Detection
10.
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
>>更多相關文章<<