allenhaozhu / EASE
For CVPR2022 Submission
☆10Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for EASE
- Official implementation of the paper "Rethinking Generalization in Few-Shot Classification" [NeurIPS 2022]☆56Updated last year
- Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task…☆126Updated 9 months ago
- Implementation of Open-Set Likelihood Maximization for Few-Shot Learning☆39Updated last year
- [IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation☆61Updated last year
- Official implementation of CVPR 2023 paper Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation.☆32Updated last year
- ☆55Updated 2 years ago
- (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty☆29Updated 8 months ago
- ☆33Updated 2 years ago
- [CVPR 2021] Few-shot Open-set Recognition by Transformation Consistency☆23Updated 3 years ago
- ☆25Updated 3 years ago
- [ECCV2022] PyTorch re-implementation of Self-Supervision Can Be a Good Few-Shot Learner☆37Updated last year
- [ICML 2023] A Closer Look at Few-shot Classification Again☆51Updated last year
- [ICML 2022] Channel Importance Matters in Few-shot Image Classification☆55Updated last year
- code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"☆114Updated last year
- Code for paper "Spherical space domain adaptation with pseudo label (CVPR 2020)" and "Unsupervised and Semi-supervised Robust Spherical S…☆60Updated last year
- ☆33Updated 4 years ago
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"☆78Updated 9 months ago
- ☆25Updated 10 months ago
- ☆24Updated 3 years ago
- ☆42Updated 3 years ago
- ☆56Updated 5 months ago
- Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).☆49Updated last year
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆65Updated 3 months ago
- code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'☆102Updated 2 years ago
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆51Updated 2 years ago
- ☆44Updated last year
- Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)☆54Updated 5 months ago
- A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition☆96Updated last year
- MattiaLitrico / Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-AdaptationCode for "Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-Adaptation" (CVPR 2023)☆83Updated last year
- accepted at ICCV 2021☆20Updated last year