htdt / hyp_metricLinks
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository
☆204Updated 3 years ago
Alternatives and similar repositories for hyp_metric
Users that are interested in hyp_metric are comparing it to the libraries listed below
Sorting:
- Whitening for Self-Supervised Representation Learning | Official repository☆131Updated 2 years ago
- [ICCV 2021] Towards Interpretable Deep Metric Learning with Structural Matching☆101Updated 4 years ago
- Official PyTorch Implementation of HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization, CVPR 2023☆64Updated 2 years ago
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results☆210Updated last year
- EsViT: Efficient self-supervised Vision Transformers☆411Updated 2 years ago
- [NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".☆144Updated 10 months ago
- ☆161Updated 4 months ago
- Supplementary code for the paper "Hyperbolic Image Embeddings".☆387Updated 3 years ago
- Code for "Unsupervised Hyperbolic Metric Learning" in CVPR 2021.☆20Updated 3 years ago
- [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”☆103Updated last month
- Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)☆259Updated 3 months ago
- Code for our CVPR 2022 paper 'Generalized Category Discovery'. Project page: https://www.robots.ox.ac.uk/~vgg/research/gcd/☆229Updated 2 years ago
- B-cos Networks: Alignment is All we Need for Interpretability☆111Updated last year
- Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"☆185Updated 2 years ago
- Pretrained SimCLRv2 models in Pytorch☆105Updated 5 years ago
- Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021☆43Updated 3 years ago
- ☆218Updated 3 years ago
- Official codes: Self-Supervised Learning by Estimating Twin Class Distribution☆100Updated 3 years ago
- Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)☆461Updated 3 years ago
- Official repo for our ICLR 22 Oral paper: "Open-Set Recognition: a Good Closed-Set Classifier is All You Need?"☆294Updated 3 years ago
- (ICLR 2023) Official PyTorch implementation of "What Do Self-Supervised Vision Transformers Learn?"☆114Updated last year
- Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)☆154Updated 3 years ago
- Few-shot learning with mislabeled support samples☆43Updated 2 years ago
- Official repository for "Orthogonal Projection Loss" (ICCV'21)☆126Updated 3 years ago
- A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".☆84Updated last year
- ☆198Updated last year
- [ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."☆273Updated 2 years ago
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆154Updated 3 years ago
- NeurIPS 2020, Debiased Contrastive Learning☆283Updated 2 years ago
- Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks☆169Updated 3 years ago