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Re-identify people with only bounding box annotations by spatial and occlusion contrasts with DICL

Re-identify people with only bounding box annotations by spatial and occlusion contrasts with DICL


Deep Intra-Image Contrastive Learning for Weakly Supervised One-Step Person Search

arXiv paper abstract https://arxiv.org/abs/2302.04607



Weakly supervised person search aims to perform joint pedestrian detection and re-identification (re-id) with only person bounding-box annotations.


... present a novel deep intra-image contrastive learning using a Siamese network.


Two key modules are spatial-invariant contrast (SIC) and occlusion-invariant contrast (OIC).


SIC performs many-to-one contrasts between two branches of Siamese network and ... learn discriminative scale-invariant and location-invariant features to solve spatial-level variance.


OIC enhances feature consistency with the masking strategy to learn occlusion-invariant features.


... method achieves a state-of-the-art performance among weakly supervised one-step person search approaches ...



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