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AAPAR

Official Implementation of "AAPAR: CLIP-based Adaptation and Alignment for Pedestrian Attribute Recognition" Update the folder directory of the dataset before training, and the experimental results are in the log folder.

CUDA_VISIBLE_DEVICES=0 python train.py PA100k --gpus 0

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TrPAR: Learning Triple Relations network using CLIP for Pedestrian Attribute Recognition

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