youthhoo / AFA_For_Few_shot_learningLinks
☆20Updated 2 years ago
Alternatives and similar repositories for AFA_For_Few_shot_learning
Users that are interested in AFA_For_Few_shot_learning are comparing it to the libraries listed below
Sorting:
- Official implementation of the paper "Rethinking Generalization in Few-Shot Classification" [NeurIPS 2022]☆65Updated 2 years ago
- ☆41Updated 2 years ago
- Repository for the CVPR-2023 paper : StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning☆63Updated 6 months ago
- [IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation☆70Updated 2 years ago
- Code for CVPR2024 Paper: Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning☆15Updated last year
- Code implementation for the paper: Supervised Masked Knowledge Distillation for Few-Shot Transformers☆45Updated 2 years ago
- CVPR2023: Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment☆14Updated 2 years ago
- ☆34Updated 2 years ago
- The code of paper "Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Lear…☆13Updated 3 months ago
- ☆11Updated last year
- (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty☆33Updated last year
- Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task…☆141Updated last year
- The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation☆37Updated 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)☆101Updated 2 years ago
- Official PyTorch Implementation of MSDN (CVPR'22)☆52Updated 3 years ago
- Official PyTorch Repository of "Task Discrepancy Maximization for Fine-grained Few-Shot Classification" (TDM, CVPR 2022 Oral Paper)☆47Updated 2 years ago
- ☆94Updated 3 years ago
- [AAAI 2024] Prompt-based Distribution Alignment for Unsupervised Domain Adaptation☆75Updated last year
- ☆40Updated last year
- [CVPR2023] Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions☆76Updated 2 years ago
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆73Updated 11 months ago
- [ICML 2022] Channel Importance Matters in Few-shot Image Classification☆59Updated 2 years ago
- ☆19Updated 4 years ago
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"☆82Updated last year
- ☆45Updated 2 years ago
- <Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data> in NIPS 2021☆50Updated 3 years ago
- Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'☆79Updated 2 years ago
- [CVPR 2023] This repository contains code for the paper "FCC: Feature Clusters Compression for Long-Tailed Visual Recognition", accepted …☆22Updated 2 years ago
- ☆26Updated 4 years ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆92Updated 2 years ago