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)
☆46Updated 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]☆65Updated 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
- Official PyTorch Repository of "Difficulty-Aware Simulator for Open Set Recognition" (ECCV 2022 Paper)☆43Updated 2 years ago
- ☆35Updated last year
- Code release for Bi-Directional Feature Reconstruction Network for Fine-grained Few-shot Image Classification☆63Updated 2 years ago
- ☆21Updated 2 years ago
- [CVPR'23] Official PyTorch implementation of Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification…☆45Updated 2 years ago
- ☆41Updated 2 years ago
- ☆61Updated last year
- ☆10Updated last year
- The code of paper "Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Lear…☆12Updated last month
- (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty☆33Updated last year
- [CVPR2024] Simple Semantic-Aided Few-Shot Learning☆51Updated last year
- ☆40Updated last year
- Repository for the CVPR-2023 paper : StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning☆63Updated 4 months ago
- (CVPR 2021) Few-Shot Classification with Feature Map Reconstruction Networks☆126Updated 2 years ago
- The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation☆37Updated last year
- Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task…☆139Updated last year
- 🔥MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition [Official, ICCV 2023]☆30Updated 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)☆100Updated 2 years ago
- ☆34Updated 2 years ago
- The summary of code and paper for few-shot learning in fine-grained recognition☆74Updated 4 months ago
- [ECCV2022] PyTorch re-implementation of Self-Supervision Can Be a Good Few-Shot Learner☆37Updated 2 years ago
- [ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification☆121Updated 3 years ago
- [NeurIPS 2022] Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning☆72Updated last year
- Code for "Matching feature sets for few-shot image classification"-CVPR'2022.☆39Updated 2 years ago
- Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-domain Few-Shot Learning - CVPR 2024☆21Updated 10 months ago
- ☆44Updated 2 years ago
- Code implementation of ICLR paper entitled "Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification"☆28Updated 3 months ago