Adaptive Region Pooling for Object Detection

CVPR 2015 Yi-Hsuan TsaiOnur C. HamsiciMing-Hsuan Yang

Learning models for object detection is a challenging problem due to the large intra-class variability of objects in appearance, viewpoints, and rigidity. We address this variability by a novel feature pooling method that is adaptive to segmented regions... (read more)

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