KU-VGI / VILLinks
[ECCV 2024] Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning
☆15Updated last year
Alternatives and similar repositories for VIL
Users that are interested in VIL are comparing it to the libraries listed below
Sorting:
- This repository provides the official implementation for Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain …☆34Updated 3 years ago
- [ECCV 2024] Online Continuous Generalized Category Discovery☆14Updated last year
- The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation☆37Updated last year
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆33Updated last year
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning （CVPR 2025）☆27Updated 6 months ago
- [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899☆68Updated 2 years ago
- [CVPR 2023] Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery☆26Updated last year
- Online Prototype Learning for Online Continual Learning (ICCV 2023)☆42Updated 2 years ago
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆16Updated 8 months ago
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023)☆38Updated 2 years ago
- This work is the official Pytorch implementation of our papers: Source-Free Progressive Graph Learning for Open-Set Domain Adaptation (T…☆28Updated last year
- Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning☆27Updated 2 years ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆67Updated last year
- ☆40Updated last year
- ☆12Updated last year
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆78Updated 8 months ago
- ☆15Updated 2 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆152Updated last year
- [CVPR 2023] The official repository of our paper "Upcycling Models under Domain and Category Shift"☆31Updated 7 months ago
- 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)☆102Updated 2 years ago
- ☆25Updated last year
- [ECCV 2024] Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision☆43Updated 6 months ago
- An official implementation of "Domain Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation", CVPR 202…☆15Updated last year
- ☆22Updated 11 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆57Updated 10 months ago
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆27Updated 3 years ago
- ☆33Updated 2 years ago
- "OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan,…☆36Updated 2 years ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆92Updated 2 years ago
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆41Updated last year