jarucezh / cldfdLinks
Code implementation of ICLR paper entitled "Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification"
☆28Updated last month
Alternatives and similar repositories for cldfd
Users that are interested in cldfd are comparing it to the libraries listed below
Sorting:
- Repository for the paper : Meta-FDMixup: Cross-Domain Few-Shot Learning Guided byLabeled Target Data☆68Updated 2 months ago
- Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)☆56Updated last year
- Code for CVPR2024 Paper: Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning☆14Updated last year
- ☆10Updated last year
- (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty☆34Updated last year
- ☆21Updated 2 years ago
- Repository for the CVPR-2023 paper : StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning☆56Updated 2 months ago
- Code implementation for the paper: Supervised Masked Knowledge Distillation for Few-Shot Transformers☆42Updated 2 years ago
- [IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation☆69Updated 2 years ago
- Code for 'OneRing: A Simple Method for Source-free Open-partial Domain Adaptation'☆33Updated 2 years ago
- Official implementation of the paper "Rethinking Generalization in Few-Shot Classification" [NeurIPS 2022]☆64Updated 2 years ago
- Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task…☆136Updated last year
- ☆44Updated 2 years ago
- Code Release for "Minimum Class Confusion for Versatile Domain Adaptation"(ECCV2020)☆54Updated 5 years ago
- The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation☆35Updated last year
- [AAAI 2024] Prompt-based Distribution Alignment for Unsupervised Domain Adaptation☆71Updated 10 months ago
- Multiform Ensemble Self-Supervised Learning for Few-Shot Remote Sensing Scene Classification☆13Updated 2 years ago
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆53Updated 3 years ago
- 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)☆98Updated 2 years ago
- Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning TPAMI 2023☆21Updated last year
- Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).☆42Updated 2 years ago
- Pytorch codes for NeurIPS 2021 paper titled "Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data".☆32Updated 3 years ago
- Official Repository for "Towards Generalizing to Unseen Domains with Few Labels". (CVPR-24)☆20Updated 11 months ago
- [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899☆65Updated 2 years ago
- ☆34Updated 2 years ago
- ☆25Updated 2 years ago
- Official PyTorch Repository of "Task Discrepancy Maximization for Fine-grained Few-Shot Classification" (TDM, CVPR 2022 Oral Paper)☆44Updated last year
- [AAAI 2024] MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation☆17Updated last year
- Repository for the paper : ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning☆22Updated last year
- <Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data> in NIPS 2021☆50Updated 3 years ago