Dynamic Refinement Network for Oriented and Densely Packed Object Detection
Dynamic Refinement Network for Oriented and Densely Packed Object Detection
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 …