Annusha / LCwoF
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting, (ICCV'21)
☆14Updated 2 years ago
Alternatives and similar repositories for LCwoF:
Users that are interested in LCwoF are comparing it to the libraries listed below
- This repository provides the official implementation for Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain …☆32Updated 2 years ago
- Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification☆28Updated last year
- ☆19Updated last month
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.☆35Updated last year
- [CVPR' 23] Adjustment and Alignment for Unbiased Open Set Domain Adaptation☆16Updated last year
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆21Updated 6 months ago
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆54Updated 3 years ago
- ☆47Updated last year
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆85Updated last year
- Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).☆42Updated 2 years ago
- "OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan,…☆33Updated last year
- ☆58Updated 7 months ago
- [CVPR 2023] Official Implementation of "C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adap…☆19Updated last month
- ☆34Updated 11 months ago
- ☆12Updated 2 years ago
- This work is the official Pytorch implementation of our papers: Source-Free Progressive Graph Learning for Open-Set Domain Adaptation (T…☆24Updated 11 months ago
- Official implementation of the paper "Rethinking Generalization in Few-Shot Classification" [NeurIPS 2022]☆57Updated last year
- ☆34Updated last year
- "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)☆39Updated last year
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆66Updated last month
- The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation☆26Updated 8 months ago
- Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)☆66Updated last year
- ☆20Updated 2 years ago
- This repository contains code for the paper "Imbalanced Semi-supervised Learning with Bias Adaptive Classifier", published at ICLR 2023.☆18Updated last year
- The official implementation of our work CoSDA: Continual Source-Free Domain Adaptation.☆39Updated last year
- Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)☆55Updated 7 months ago
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆35Updated last year
- ☆54Updated 2 years ago
- Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"☆51Updated 2 years ago
- [CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning☆65Updated 11 months ago