Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection

16 Apr 2016Yu XiangWongun ChoiYuanqing LinSilvio Savarese

In CNN-based object detection methods, region proposal becomes a bottleneck when objects exhibit significant scale variation, occlusion or truncation. In addition, these methods mainly focus on 2D object detection and cannot estimate detailed properties of objects... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Object Detection PASCAL VOC 2007 subCNN MAP 68.5% # 24

Methods used in the Paper


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