lovelyqian / StyleAdv-CDFSLLinks
Repository for the CVPR-2023 paper : StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
☆55Updated last month
Alternatives and similar repositories for StyleAdv-CDFSL
Users that are interested in StyleAdv-CDFSL are comparing it to the libraries listed below
Sorting:
- ☆21Updated 2 years ago
- Official implementation of the paper "Rethinking Generalization in Few-Shot Classification" [NeurIPS 2022]☆63Updated 2 years ago
- Code implementation for the paper: Supervised Masked Knowledge Distillation for Few-Shot Transformers☆42Updated 2 years ago
- [ICML 2022] Channel Importance Matters in Few-shot Image Classification☆60Updated 2 years ago
- The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation☆34Updated last year
- Code and data for paper https://arxiv.org/pdf/2106.05517.pdf (CVPR 2022)☆51Updated 3 years ago
- ☆41Updated 2 years ago
- [IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation☆67Updated 2 years ago
- ☆93Updated 3 years ago
- Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task…☆136Updated last year
- [ECCV2022] PyTorch re-implementation of Self-Supervision Can Be a Good Few-Shot Learner☆37Updated 2 years ago
- Safe Self-Refinement for Transformer-based Domain Adaptation (CVPR 2022)☆40Updated 3 years ago
- [CVPR 2021] Few-shot Open-set Recognition by Transformation Consistency☆24Updated 4 years ago
- ☆10Updated last year
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆90Updated last year
- Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"☆50Updated 2 years ago
- ☆61Updated last year
- Implementation of the paper "Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning"☆87Updated 2 years ago
- Repository for the paper : Meta-FDMixup: Cross-Domain Few-Shot Learning Guided byLabeled Target Data☆68Updated last month
- (CVPR2023) official code of Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization☆32Updated last year
- Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687☆95Updated 2 years ago
- CVPR2023: Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment☆14Updated 2 years ago
- [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899☆64Updated 2 years ago
- (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty☆34Updated last year
- ☆34Updated 2 years ago
- ☆34Updated 2 years ago
- ☆36Updated last year
- "OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan,…☆35Updated 2 years ago
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023)☆36Updated last year
- [ICLR 2023] The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition☆32Updated 2 years ago