Dynamic Refinement Network for Oriented and Densely Packed Object Detection

20 May 2020Xingjia PanYuqiang RenKekai ShengWeiming DongHaolei YuanXiaowei GuoChongyang MaChangsheng Xu

Object detection has achieved remarkable progress in the past decade. However, the detection of oriented and densely packed objects remains challenging because of following inherent reasons: (1) receptive fields of neurons are all axis-aligned and of the same shape, whereas objects are usually of diverse shapes and align along various directions; (2) detection models are typically trained with generic knowledge and may not generalize well to handle specific objects at test time; (3) the limited dataset hinders the development on this task... (read more)

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