Pedestrian Detection by Exemplar-Guided Contrastive Learning

no code implementations • 17 Nov 2021 • Zebin Lin, Wenjie Pei, Fanglin Chen, David Zhang, Guangming Lu

Instead of learning each of these diverse pedestrian appearance features individually as most existing methods do, we propose to perform contrastive learning to guide the feature learning in such a way that the semantic distance between pedestrians with different appearances in the learned feature space is minimized to eliminate the appearance diversities, whilst the distance between pedestrians and background is maximized.

Contrastive Learning Pedestrian Detection