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Domain Adversarial Training for Infrared-colour Person Re-Identification
However, in poorly-lit environments CCTV cameras switch to infrared imaging, hence developing a system which can correctly perform matching between infrared and colour images is a necessity.
Person Re-identification with Bias-controlled Adversarial Training
Inspired by the effectiveness of adversarial training in the area of Generative Adversarial Networks we present a new approach for learning feature representations in person re-identification.
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Person Re-Identification
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Partial Person Re-identification with Alignment and Hallucination
We propose Partial Matching Net (PMN) that detects body joints, aligns partial views and hallucinates the missing parts based on the information present in the frame and a learned model of a person.
