JosephKJ / Awesome-Novel-Class-DiscoveryLinks
A list of papers that studies Novel Class Discovery
☆514Updated 4 months ago
Alternatives and similar repositories for Awesome-Novel-Class-Discovery
Users that are interested in Awesome-Novel-Class-Discovery are comparing it to the libraries listed below
Sorting:
- Test-time Adaptation, Test-time Training and Source-free Domain Adaptation☆529Updated last year
- Code for our CVPR 2022 paper 'Generalized Category Discovery'. Project page: https://www.robots.ox.ac.uk/~vgg/research/gcd/☆232Updated 3 years ago
- An awesome paper list of Semi-Supervised Learning under realistic settings.☆127Updated last year
- Awesome Few-Shot Class-Incremental Learning☆249Updated last year
- A curated list of Continual Learning papers and BibTeX entries☆200Updated last year
- Class-Incremental Learning: A Survey (TPAMI 2024)☆276Updated last year
- A repository and benchmark for online test-time adaptation.☆260Updated 7 months ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆201Updated 2 years ago
- Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ …☆468Updated last year
- An Incremental Learning, Continual Learning, and Life-Long Learning Repository☆602Updated last year
- 🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox☆547Updated 4 months ago
- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆123Updated 2 years ago
- Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"☆166Updated 4 years ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆106Updated last year
- Collection of awesome test-time (domain/batch/instance) adaptation methods☆1,170Updated last month
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆125Updated 2 years ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆154Updated 2 years ago
- Learning Placeholders for Open-Set Recognition (CVPR'21 Oral)☆96Updated 4 years ago
- [CVPR 2022] Official CoTTA Code for our paper Continual Test-Time Domain Adaptation☆298Updated last year
- [TPAMI 2022] Adversarial Reciprocal Points Learning for Open Set Recognition