Adding a Deep InfoMax-style adversarial loss to IDE and PCB person re-identification baselines gives modest rank-1/mAP gains, but the claimed mutual information between input image and encoder output is not implemented as stated.
Deep Representation Learning with Part Loss for Person Re-Identification,
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Learning Deep Representations by Mutual Information for Person Re-identification
Adding a Deep InfoMax-style adversarial loss to IDE and PCB person re-identification baselines gives modest rank-1/mAP gains, but the claimed mutual information between input image and encoder output is not implemented as stated.