Person reid baseline pytorchPytorch ReID: A tiny, friendly, strong pytorch implement of object re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
Stars: ✭ 2,963 (-3.92%)
Dgd person reidDomain Guided Dropout for Person Re-identification
Stars: ✭ 229 (-92.57%)
Image Text EmbeddingTOMM2020 Dual-Path Convolutional Image-Text Embedding https://arxiv.org/abs/1711.05535
Stars: ✭ 223 (-92.77%)
Learning Via TranslationImage-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification (https://arxiv.org/pdf/1711.07027.pdf). CVPR2018
Stars: ✭ 202 (-93.45%)
Person Reid 3d🗽 Parameter-Efficient Person Re-identification in the 3D Space 🗽
Stars: ✭ 193 (-93.74%)
Self Similarity GroupingSelf-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification (ICCV 2019, Oral)
Stars: ✭ 171 (-94.46%)
Person Reid Gan PytorchA Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17)
Stars: ✭ 147 (-95.23%)
Reid MgnReproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
Stars: ✭ 145 (-95.3%)
Attribute Aware Attention[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning
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Fast ReidSOTA Re-identification Methods and Toolbox
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Naic person reid dmtThis is Top 3 Code for the Person ReID Compitition of NAIC
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Open ReidOpen source person re-identification library in python
Stars: ✭ 1,144 (-62.91%)
Dg NetJoint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral)
Stars: ✭ 1,042 (-66.21%)
RollbackBackbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification (AAAI2019)
Stars: ✭ 33 (-98.93%)
Generalizing ReidRepository of the paper "Generalizing Person Re-Identification by Camera-Aware Instance Learning and Cross-Domain Mixup"
Stars: ✭ 28 (-99.09%)
Person searchJoint Detection and Identification Feature Learning for Person Search
Stars: ✭ 666 (-78.4%)
EanetEANet: Enhancing Alignment for Cross-Domain Person Re-identification
Stars: ✭ 380 (-87.68%)
Dukemtmc Reid evaluationICCV2017 The Person re-ID Evaluation Code for DukeMTMC-reID Dataset (Including Dataset Download)
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Batch Dropblock NetworkOfficial source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)
Stars: ✭ 304 (-90.14%)
Light Reid[ECCV2020] a toolbox of light-reid learning for faster inference, speed both feature extraction and retrieval stages up to >30x
Stars: ✭ 302 (-90.21%)
Person Reid ganICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
Stars: ✭ 301 (-90.24%)
DeepccMulti-Target, Multi-Camera Tracking
Stars: ✭ 299 (-90.3%)
2016 person re IdTOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification
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HiCMD[CVPR2020] Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
Stars: ✭ 64 (-97.92%)
Deep-Association-LearningTensorflow Implementation on Paper [BMVC2018]Deep Association Learning for Unsupervised Video Person Re-identification
Stars: ✭ 68 (-97.8%)
FedReIDImplementation of Federated Learning to Person Re-identification (Code for ACMMM 2020 paper)
Stars: ✭ 68 (-97.8%)
AOS4ReIDAdversarially Occluded Samples for Person Re-identification, CVPR 2018
Stars: ✭ 32 (-98.96%)
MetaBIN[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification
Stars: ✭ 58 (-98.12%)
Dispersion-based-ClusteringThe source code for our work "Towards better Validity: Dispersion based Clustering for unsupervised Person Re-identification"
Stars: ✭ 33 (-98.93%)