noorahmedds / OrCoLinks
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
☆23Updated last month
Alternatives and similar repositories for OrCo
Users that are interested in OrCo are comparing it to the libraries listed below
Sorting:
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆61Updated last year
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆40Updated 8 months ago
- ☆32Updated 2 years ago
- Class-Incremental Learning: A Survey (TPAMI 2024)☆260Updated 8 months ago
- Awesome Few-Shot Class-Incremental Learning☆239Updated last year
- ☆12Updated 2 years ago
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆131Updated last year
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆75Updated 3 months ago
- ☆17Updated last year
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆29Updated last year
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023)☆37Updated last year
- Official implementation of CVPR 2023 paper Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation.☆36Updated 2 years ago
- Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"☆164Updated 4 years ago
- The code repository for "Task-Agnostic Guided Feature Expansion for Class-Incremental Learning" (CVPR25)☆18Updated 3 months ago
- [CVPR 2024] The official repository of our paper "LEAD: Learning Decomposition for Source-free Universal Domain Adaptation"☆34Updated 2 months ago
- ICLR2024 paper on Continual Learning☆36Updated last year
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆55Updated 2 years ago
- [TPAMI 2022] Adversarial Reciprocal Points Learning for Open Set Recognition☆172Updated 2 years ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆114Updated 2 years ago
- [CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition☆43Updated 2 years ago
- Implementation of <Contrastive Open Set Recognition> （AAAI-23）☆18Updated 2 years ago
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning （CVPR 2025）☆23Updated last month
- [ECCV 2024] Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning☆14Updated 9 months ago
- a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.☆97Updated 3 years ago
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆14Updated 3 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)☆98Updated 2 years ago
- ☆14Updated last year
- ☆99Updated 2 years ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆52Updated 5 months ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆89Updated last year