AlignedReID-Re-Production-Pytorch. Reproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.
645person-reid-triplet-loss-baseline. Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch
484EANet. EANet: Enhancing Alignment for Cross-Domain Person Re-identification
398beyond-part-models. PCB of paper: Beyond Part Models: Person Retrieval with Refined Part Pooling, using Pytorch
330AOS4ReID. Adversarially Occluded Samples for Person Re-identification, CVPR 2018
32PyTorch-Encoding. Part Segmentation for EANet
30pytorch-wrapping-multi-dataloaders. Python
22PAL-MGN. Improve Person Re-Identification With Part Awareness Learning, TIP 2020
18person-re-identification-check-eval-code. A test case for python and matlab evaluation codes, for person re-identification
14HPNet. Human Parsing Based Alignment with Multi-task Learning for Occluded Person Re-identification, ICME 2020 Oral
12PTL. Proxy Task Learning For Cross-Domain Person Re-Identification, ICME 2020
3bravecowcow_inference_docker. Python
3pytorch_Realtime_Multi-Person_Pose_Estimation. This is a pytorch version of Realtime_Multi-Person_Pose_Estimation, origin code is here https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation
2resnext-pytorch. Simple case of defining and initializing ResNeXt pytorch model.
2Strong_Baseline_of_Pedestrian_Attribute_Recognition. a solid and strong baseline of pedestrian attribute recognition
1pytorch-caffe2-cmake-log.
1