iSEE-Laboratory / Revisting_FSCILLinks
Official PyTorch implementation of our ECCV2024 paper “Rethinking Few-shot Class-incremental Learning: Learning from Yourself”
☆15Updated 5 months ago
Alternatives and similar repositories for Revisting_FSCIL
Users that are interested in Revisting_FSCIL are comparing it to the libraries listed below
Sorting:
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆39Updated 4 months ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆61Updated last year
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning （CVPR 2025）☆23Updated 3 weeks ago
- ☆21Updated 6 months ago
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆72Updated 2 months ago
- Official implementation of the "Multimodal Parameter-Efficient Few-Shot Class Incremental Learning" paper☆23Updated last year
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆28Updated 11 months ago
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆14Updated 2 months ago
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆49Updated 10 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆144Updated 10 months ago
- ☆42Updated 2 months ago
- [CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning☆71Updated last year
- [ECCV 2024] Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning☆14Updated 9 months ago
- ☆12Updated 11 months ago
- Code for our NeurIPS´24 paper☆33Updated 8 months ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆81Updated 3 months ago
- Official repository of ”Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning"☆34Updated this week
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆141Updated last year
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆33Updated 2 weeks ago
- ☆15Updated 2 years ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆90Updated last year
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆16Updated 8 months ago
- CVPR2023: AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning☆15Updated 2 years ago
- ☆23Updated last month
- [ICCV 2023] Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning☆25Updated 6 months ago
- This is an official implementation of our work, Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on V…☆12Updated 5 months ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆101Updated 9 months ago
- Generative Multi-modal Models are Good Class Incremental Learners, CVPR 2024 [PyTorch Code]☆45Updated 7 months ago
- ☆12Updated 2 years ago
- The code implementation of the <Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning> in The Co…☆12Updated 2 years ago