mogeko2333

mogeko2333's Stars

• layumi/Person_reID_baseline_pytorch

  :bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

  Language:Python4.2k773821k

• TylerYep/torchinfo

  View model summaries in PyTorch!

  Language:Python2.7k17161124

• moskomule/senet.pytorch

  PyTorch implementation of SENet

  Language:Python2.3k170444

• AlexHex7/Non-local_pytorch

  Implementation of Non-local Block.

  Language:Python1.6k1850276

• NVlabs/DG-Net

  :couple: Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) :couple:

  Language:Python1.3k3078228

• zhoubolei/TRN-pytorch

  Temporal Relation Networks

  Language:Python7872289190

• YimianDai/open-aff

  code and trained models for "Attentional Feature Fusion"

  Language:Python75984295

• michuanhaohao/ReID_tutorial_slides

  《深度学习与行人重识别》课程课件

  417131101

• jiyanggao/Video-Person-ReID

  Video-based Person ReID Method Implementations on MARS

  Language:Python382827110

• layumi/Person-reID_GAN

  ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

  Language:Cuda321171789

• AsuradaYuci/awesome_video_person_reid

  papers collection and understanding for video person re-identification

  31314573

• zhunzhong07/CamStyle

  Camera Style Adaptation for Person Re-identification CVPR 2018

  Language:Python28482073

• lightas/ICCV19_Pose_Guided_Occluded_Person_ReID

  This is the pytorch implementation and dataset of the ICCV2019 paper "Pose-Guided Feature Alignment for Occluded Person Re-identification"

  Language:Python14511729

• zhang-can/PAN-PyTorch

  [Codes of paper]: PAN: Towards Fast Action Recognition via Learning Persistence of Appearance

  Language:Python102121710

• guxinqian/AP3D

  Pytorch implementation of "Appearance-Preserving 3D Convolution for Video-based Person Re-identification"

  Language:Python9831524

• liuyuisanai/Quality-Aware-Network

  Code and some data for ``Quality Aware Network for Set to Set Recognition'' in CVPR 2017

  Language:Matlab9271537

• yolomax/person-reid-lib

  The pytorch-based lightweight library of the image-based and video-based person re-identification.

  Language:Python7631521

• blue-blue272/VideoReID-TCLNet

  Code of Temporal Complementary Learning for Video Person Re-Identification (ECCV2020)

  Language:Python6751318

• yuange250/not_so_strong_baseline_for_video_based_person_reID

  Language:Python59227

• AsuradaYuci/understand_videobased_reid

  关于video_reid代码的注释，原始代码地址

  Language:Python5221011

• InnovArul/vidreid_cosegmentation

  Source code for the ICCV-2019 paper "Co-segmentation Inspired Attention Networks for Video-based Person Re-identification"

  Language:Python443210

• weleen/AGRL.pytorch

  [TIP2020] Adaptive Graph Representation Learning for Video Person Re-identification

  Language:Python432919

• 17Skye17/Non-local-Neural-Networks-Pytorch

  This is a pytorch version for Non-local Neural Networks(onging)

  Language:Python27218

• rshivansh/Spatial-Temporal-attention

  Language:Python27249

• ViktorLiang/Spatial-Temporal-Pooling-Networks-ReID

  Pytorch implementation of the Attentive Spatial-Temporal Pooling Networks by Shuangjie Xu(2017.https://arxiv.org/abs/1708.02286)

  Language:Python12205

• InnovArul/personreid_sequential_rl

  An attempt to replicate the paper "Multi-shot Pedestrian Re-identification via Sequential Decision Making (CVPR2018)"

  Language:Jupyter Notebook10224

• AsuradaYuci/SCAN_pytorch

  support pytorch>=0.4

  Language:Python7241

• PeixianChen/Video-based-Person-Re-identification-with-Two-stream-Convolutional-Network-and-Co-attentive-Snippet-

  Language:Python4200

• amena6490/Video-based-ReID-master

  The Code of the paper "Video-based Person Re-identification Method Based on GAN and Pose Estimation"

  Language:Jupyter Notebook3101

• beichengus/Non-local-Attentive-Temporal-Network-for-Video-based-Person-Re-Id

  Language:Python2100