Adversarially Occluded Samples for Person Re-identification, CVPR 2018
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Updated
Jan 21, 2019 - Python
Adversarially Occluded Samples for Person Re-identification, CVPR 2018
Market1501 person re-identification task using relational networks
Re-id demo implemented for Lao Wang, guardian of the Prison, CEO of ZYDQ
My implementation of paper: SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
An implementation of the person re-identification
computer vision
LOMO Feature extraction for PRID. Contains extracted features of PRID450S dataset.
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification (AAAI2019)
Tensorflow implementation of CVPR 2018 paper "Disentangled Person Image Generation"
Triplet Loss for Person Re-Identification
Simple pytorch unofficial implement of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
A Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17)
A bunch of person reid models, tricks, data augmentations...
Official implementation of "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models" IMAVIS 2019
Reimplementation of Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Torchreid: Deep learning person re-identification in PyTorch.
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