Jityan / sslprotonet
Code Repository for "SSL-ProtoNet: Self-supervised Learning Prototypical Networks for few-shot learning"
☆19Updated 5 months ago
Alternatives and similar repositories for sslprotonet:
Users that are interested in sslprotonet are comparing it to the libraries listed below
- ☆40Updated 2 years ago
- The code for "SCL: Self-supervised contrastive learning for few-shot image classification"☆13Updated 5 months ago
- Code release for Bi-Directional Feature Reconstruction Network for Fine-grained Few-shot Image Classification☆59Updated last year
- SSL-FEW-SHOT☆14Updated 5 years ago
- Code for "Matching feature sets for few-shot image classification"-CVPR'2022.☆35Updated 2 years ago
- ☆17Updated last year
- Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)☆57Updated 2 years ago
- This repository focuses on the problem of Zero-Shot Open-Set Recognition (ZS-OSR), which aims to accurately classify samples from unseen…☆11Updated last year
- Official Repository for "Towards Generalizing to Unseen Domains with Few Labels". (CVPR-24)☆20Updated 6 months ago
- ☆24Updated 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)☆94Updated last year
- Implementation of Open-Set Likelihood Maximization for Few-Shot Learning☆41Updated last year
- SF(DA)²: Source-free Domain Adaptation Through the Lens of Data Augmentation (ICLR 2024)☆15Updated 10 months ago
- Adversarial Network with Multiple Classifiers for Open Set Domain Adaptation☆23Updated 4 years ago
- Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift☆31Updated 2 years ago
- A PyTorch implementation of MoCo based on CVPR 2020 paper "Momentum Contrast for Unsupervised Visual Representation Learning"☆55Updated 4 years ago
- ☆56Updated 4 years ago
- PyTorch implementation of MGRB (TKDE2022)☆8Updated 2 years ago
- [ECCV2022] PyTorch re-implementation of Self-Supervision Can Be a Good Few-Shot Learner☆37Updated 2 years ago
- Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)☆56Updated 9 months ago
- [ICML 2023] A Closer Look at Few-shot Classification Again☆56Updated last year
- ☆23Updated 2 years ago
- Official Implementation of "Domain Adaptive Few-Shot Open-Set Learning" in IEEE/CVF International Conference on Computer Vision (ICCV'23)☆12Updated last year
- This is the pytorch demo code for Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain, (PTMDA) (IEEE Transactions on Ima…☆10Updated 2 years ago
- [CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition☆39Updated last year
- Official implementation of the paper "Rethinking Generalization in Few-Shot Classification" [NeurIPS 2022]☆59Updated 2 years ago
- ICCV 2023☆10Updated 10 months ago
- ☆11Updated last year
- This is the unofficial PyTorch implementation of Domain Generalization with Adversarial Feature Learning.☆18Updated 2 years ago
- (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty☆33Updated last year