zhoudw-zdw / CVPR22-Fact
Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)
☆125Updated last year
Alternatives and similar repositories for CVPR22-Fact:
Users that are interested in CVPR22-Fact are comparing it to the libraries listed below
- Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"☆162Updated 3 years ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆50Updated last year
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆108Updated last year
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.☆36Updated last year
- Awesome Few-Shot Class-Incremental Learning☆234Updated last year
- Official implementation of CVPR 2023 paper Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation.☆35Updated last year
- [CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning☆68Updated last year
- Official repository for Few-Shot Class-Incremental Learning (FSCIL)☆231Updated 4 years ago
- ☆29Updated last year
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆160Updated 3 years ago
- Learning Placeholders for Open-Set Recognition (CVPR'21 Oral)☆86Updated 3 years ago
- ☆12Updated 2 years ago
- ☆55Updated 2 years ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆85Updated last year
- The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.☆67Updated 6 months ago
- Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning☆26Updated last year
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆96Updated 5 months ago
- ☆35Updated 3 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆135Updated 6 months ago
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆51Updated 2 years ago
- OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning☆22Updated 7 months ago
- Implementation of the paper "Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning"☆87Updated 2 years ago
- ☆35Updated 3 years ago
- Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022☆137Updated 2 years ago
- Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task…☆133Updated last year
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆51Updated last year
- [IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation☆66Updated 2 years ago
- Official implementation of the paper "Rethinking Generalization in Few-Shot Classification" [NeurIPS 2022]☆58Updated 2 years ago
- ☆59Updated 3 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆93Updated 2 years ago