Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection
Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection
Detecting arbitrarily oriented tiny objects poses intense challenges to existing detectors, especially for label assignment. Despite the exploration of adaptive label assignment in recent oriented object detectors, the extreme geometry shape and limited feature of oriented tiny objects still induce severe mismatch and imbalance issues. Specifically, the position prior, positive …