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Visual object detection is to predict the bounding box and the label of each object from the target classes in realistic scenes. Previous detection algorithms focus on training models to fit pre-segmented local patches. However, the patches themselves are not always meaningful due to the unsupervised segmentation mistakes. In this paper, a maximum margin method is proposed to get the optimal patches...
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