Zhongdao / gcn_clusteringLinks
Code for CVPR'19 paper Linkage-based Face Clustering via GCN
☆364Updated 3 years ago
Alternatives and similar repositories for gcn_clustering
Users that are interested in gcn_clustering are comparing it to the libraries listed below
Sorting:
- Learning to Cluster Faces (CVPR 2019, CVPR 2020)☆715Updated 3 years ago
- Code for our ECCV 2018 work.☆453Updated 5 years ago
- A Bottom-Up Clustering Approach to Unsupervised Person Re-identification, AAAI 2019 (Oral)☆208Updated 4 years ago
- ICCV2019☆182Updated 5 years ago
- Pytorch code for our CVPR'19 (oral) work: Unsupervised person re-identification by soft multilabel learning☆316Updated 3 years ago
- MS-Loss: Multi-Similarity Loss for Deep Metric Learning☆500Updated 2 years ago
- [CVPR2019, Oral] Learning Context Graph for Person Search☆129Updated 5 years ago
- Simple pytorch unofficial implement of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification☆238Updated 5 years ago
- Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification CVPR 2019☆304Updated 5 years ago
- A PyTorch implementation of center loss on MNIST☆360Updated 6 years ago
- ☆105Updated 6 years ago
- PCB of paper: Beyond Part Models: Person Retrieval with Refined Part Pooling, using Pytorch☆331Updated 4 years ago
- (pytorch version) TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification☆101Updated 4 months ago
- center loss for face recognition☆178Updated 4 years ago
- [ICCV 2019] "ABD-Net: Attentive but Diverse Person Re-Identification" https://arxiv.org/abs/1908.01114☆307Updated 3 years ago
- Person re-ID baseline with triplet loss☆192Updated 4 months ago
- Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch☆489Updated 6 years ago
- Awesome Person Re-Identification☆206Updated 3 years ago
- Camera Style Adaptation for Person Re-identification CVPR 2018☆285Updated 4 years ago
- My implementation of the paper [In Defense of the Triplet Loss for Person Re-Identification]☆104Updated 6 years ago
- XBM: Cross-Batch Memory for Embedding Learning☆309Updated 2 years ago
- A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).☆282Updated 11 months ago
- Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)☆327Updated 5 years ago
- ☆348Updated 5 years ago
- [NeurIPS-2018] FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification.☆283Updated 4 years ago
- PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss☆255Updated 6 years ago
- ☆188Updated 6 years ago
- Efficient Diffusion for Image Retrieval☆222Updated 5 years ago
- Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"☆470Updated 5 years ago
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juli…☆114Updated 7 years ago