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Introduction The RCNN mainly includes three modules for training: Generating around 2000 category-independent region proposals. extracts a fixed-length features from each region with CNN. A set of class-specific SVMs. The RCNN mainly includes two steps during testing: Generating around 2000 category-independent region proposals. Classifying each region with category-specific linear SVMs. Module design: Region proposal: selective search Feature extraction: 4096-d A set of class-specific SVMs. Methods