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Found 2 papers, 2 papers with code
Incremental Generative Occlusion Adversarial Suppression Network for Person ReID
The adversarial suppression branch, embedded with two occlusion suppression module, minimizes the generated occlusion’s response and strengthens attentive feature representation on human non-occluded body regions.
Ranked #6 on
Person Re-Identification
on Occluded-DukeMTMC
Deep Fusion Feature Representation Learning with Hard Mining Center-Triplet Loss for Person Re-identification
The extraction of robust feature representations from pedestrian images through CNNs with a single deterministic pooling operation is problematic as the features in real pedestrian images are complex and diverse.
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