On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identification. (arXiv:2201.03859v1 [cs.CV])

Visible-infrared person re-identification (VI-ReID) has been challenging due
to the existence of large discrepancies between visible and infrared
modalities. Most pioneering approaches reduce intra-class variations and
inter-modality discrepancies by learning modality-shared and ID-related
features. However, an explicit modality-shared cue, i.e., body keypoints, has
not been fully exploited in VI-ReID. Additionally, existing feature learning
paradigms imposed constraints on either global features or partitioned feature
stripes, which neglect the prediction consistency of global and part features.
To address the above problems, we …

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