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Keyword: spatial sensitivity ×Clear all

3 claims from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Rethinking Classification and Localization for Object Detection

   Wu, Chen, Yuan et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2020

   Unchecked3 claims
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   1. Unchecked“Furthermore, we examine the output feature maps of both heads and find that fc-head has more spatial sensitivity than conv-head.”
   2. Unchecked“Without bells and whistles, our method gains +3.5 and +2.8 AP on MS COCO dataset from Feature Pyramid Network (FPN) baselines with ResNet-50 and ResNet-101 backbones, respectively.”
   3. Unchecked“Specifically, the fully connected head (fc-head) is more suitable for the classification task, while the convolution head (conv-head) is more suitable for the localization task.”