iSEE-Laboratory / Revisting_FSCILLinks
Official PyTorch implementation of our ECCV2024 paper “Rethinking Few-shot Class-incremental Learning: Learning from Yourself”
☆20Updated last year
Alternatives and similar repositories for Revisting_FSCIL
Users that are interested in Revisting_FSCIL are comparing it to the libraries listed below
Sorting:
- This is the official repo of MLLM-CL.☆61Updated 4 months ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆69Updated 2 years ago
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆80Updated 10 months ago
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆58Updated 7 months ago
- ☆49Updated 10 months ago
- ☆12Updated last year
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆16Updated 9 months ago
- Official implementation of the "Multimodal Parameter-Efficient Few-Shot Class Incremental Learning" paper☆24Updated last year
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning （CVPR 2025）☆30Updated last week
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆156Updated 2 years ago
- ☆22Updated last year
- Learnable drift compensation (LDC) reduces semantic drift in continual learning using a trainable projector to map between tasks.☆18Updated last year
- External Knowledge Injection for CLIP-Based Class-Incremental Learning (ICCV 2025)☆51Updated 2 months ago
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆53Updated last year
- GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery （CVPR2025）☆32Updated 10 months ago
- Awsome of VLM-CL. Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting☆149Updated this week
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆153Updated last year
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆103Updated 10 months ago
- Code for paper "Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters" CVPR2024☆269Updated 4 months ago
- ☆149Updated last year
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆34Updated last year
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆41Updated last year
- [ICLR 2025] Official Implementation of Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection☆51Updated 6 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆57Updated 11 months ago
- [NeurIPS 2025] VT-FSL: Bridging Vision and Text with LLMs for Few-Shot Learning☆24Updated 2 months ago
- Pytorch implementation for "Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning" (ICML 2024)☆24Updated 8 months ago
- This is an official implementation of our work, Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on V…☆17Updated 4 months ago
- Code for CLVision workshop (CVPR 2024) paper - Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-train…☆11Updated last year
- Code for our NeurIPS´24 paper☆38Updated last year
- [CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning☆74Updated last year