Adaptive NMS
Adaptive NMS
**Adaptive Non-Maximum Suppression** is a non-maximum suppression algorithm that applies a dynamic suppression threshold to an instance according to the target density. The motivation is to find an NMS algorithm that works well for pedestrian detection in a crowd. Intuitively, a high NMS threshold keeps more crowded instances while a low NMS threshold wipes out more false positives. The adaptive-NMS thus applies a dynamic suppression strategy, where the threshold rises as instances gather and occlude each other and decays when instances appear separately. To this end, an auxiliary and learnable sub-network is designed to predict the adaptive NMS threshold for each instance.
Adaptive NMS: Refining Pedestrian Detection in a Crowd
https://paperswithcode.com/paper/adaptive-nms-refining-pedestrian-detection-in
Adaptive NMS: Refining Pedestrian Detection in a Crowd