leesb7426 / CVPR2022-Task-Discrepancy-Maximization-for-Fine-grained-Few-Shot-ClassificationLinks
Official PyTorch Repository of "Task Discrepancy Maximization for Fine-grained Few-Shot Classification" (TDM, CVPR 2022 Oral Paper)
☆43Updated last year
Alternatives and similar repositories for CVPR2022-Task-Discrepancy-Maximization-for-Fine-grained-Few-Shot-Classification
Users that are interested in CVPR2022-Task-Discrepancy-Maximization-for-Fine-grained-Few-Shot-Classification are comparing it to the libraries listed below
Sorting:
- 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
- ☆32Updated last year
- ☆21Updated 2 years ago
- Official PyTorch Repository of "Difficulty-Aware Simulator for Open Set Recognition" (ECCV 2022 Paper)☆40Updated last year
- [CVPR'23] Official PyTorch implementation of Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification…☆43Updated last year
- ☆10Updated last year
- Code for CVPR2024 Paper: Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning☆13Updated last year
- ☆61Updated last year
- ☆34Updated 2 years ago
- Code release for Bi-Directional Feature Reconstruction Network for Fine-grained Few-shot Image Classification☆62Updated last year
- ☆41Updated 2 years ago
- The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation☆34Updated last year
- [NeurIPS 2022] Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning☆72Updated last year
- Official PyTorch Implementation of MSDN (CVPR'22)☆53Updated 2 years ago
- ☆44Updated last year
- ☆48Updated last year
- Repository for the CVPR-2023 paper : StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning☆55Updated last month
- ☆36Updated last year
- Code implementation of ICLR paper entitled "Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification"☆28Updated last week
- (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty☆34Updated 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)☆98Updated 2 years ago
- The summary of code and paper for few-shot learning in fine-grained recognition☆67Updated 2 weeks ago
- 🔥MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition [Official, ICCV 2023]☆30Updated 8 months ago
- [CVPR2024] Simple Semantic-Aided Few-Shot Learning☆45Updated 10 months ago
- [AAAI 2024] Prompt-based Distribution Alignment for Unsupervised Domain Adaptation☆71Updated 9 months ago
- vit for few-shot classification☆47Updated 2 years ago
- [CVPR2022] Official implementation of DALN.☆86Updated 2 years ago
- Official code for the CVPR23 paper: "Improved Test-Time Adaptation for Domain Generalization"☆35Updated 5 months ago
- [ECCV2022] PyTorch re-implementation of Self-Supervision Can Be a Good Few-Shot Learner☆37Updated 2 years ago