NeuralCollapseApplications / FSCIL
[ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning"
☆85Updated last year
Alternatives and similar repositories for FSCIL:
Users that are interested in FSCIL are comparing it to the libraries listed below
- [CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning☆65Updated 11 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆132Updated 5 months ago
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.☆36Updated last year
- ☆47Updated last year
- Official repository for "CLIP model is an Efficient Continual Learner".☆88Updated 2 years ago
- Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning☆24Updated last year
- ☆29Updated last year
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆43Updated this week
- [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning☆75Updated 4 months ago
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆41Updated last year
- This repository provides the official implementation for Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain …☆32Updated 2 years ago
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆52Updated 2 years ago
- ☆11Updated 2 years ago
- The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.☆63Updated 6 months ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆75Updated 7 months ago
- Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"☆51Updated 2 years ago
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆31Updated 8 months ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆94Updated 4 months ago
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆24Updated 2 years ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆46Updated last year
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆107Updated last year
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆41Updated 6 months ago
- Official implementation of the paper "Rethinking Generalization in Few-Shot Classification" [NeurIPS 2022]☆57Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆63Updated last year
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆124Updated last year
- Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687☆89Updated 2 years ago
- ☆51Updated last year
- CVPR2023: AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning☆13Updated last year
- Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"☆40Updated 8 months ago
- [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners☆47Updated 5 months ago