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Found 3 papers, 2 papers with code
Learning Feature Recovery Transformer for Occluded Person Re-identification
To reduce the interference of the noise during feature matching, we mainly focus on visible regions that appear in both images and develop a visibility graph to calculate the similarity.
Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification
Meanwhile, META considers the relevance of an unseen target sample and source domains via normalization statistics and develops an aggregation module to adaptively integrate multiple experts for mimicking unseen target domain.
Black Re-ID: A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification
Given the input person image, the ensemble method would focus on the head-shoulder feature by assigning a larger weight if the individual insides the image is in black clothing.
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