P-CNN: Part-Based Convolutional Neural Networks for Fine-Grained Visual Categorization
IEEE Transactions on Pattern Analysis and Machine Intelligence(2022)
摘要
This paper proposes an end-to-end fine-grained visual categorization system, termed Part-based Convolutional Neural Network (P-CNN), which consists of three modules. The first module is a Squeeze-and-Excitation (SE) block, which learns to recalibrate channel-wise feature responses by emphasizing informative channels and suppressing less useful ones. The second module is a Part Localization Network...
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关键词
Visualization,Training,Detectors,Streaming media,Measurement,Feature extraction,Convolutional neural networks
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