dipamgoswami / FeCAMLinks
Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
☆40Updated 8 months ago
Alternatives and similar repositories for FeCAM
Users that are interested in FeCAM 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
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆74Updated 3 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
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆52Updated 5 months ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆197Updated last year
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆119Updated 2 years ago
- Class-Incremental Learning: A Survey (TPAMI 2024)☆260Updated 8 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆145Updated 10 months ago
- ICLR2024 paper on Continual Learning☆36Updated last year
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning （CVPR 2025）☆23Updated last month
- ☆32Updated 2 years ago
- ☆17Updated last year
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆28Updated 11 months ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆114Updated 2 years ago
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆55Updated 2 years ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆143Updated last year
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023)☆36Updated last year
- ☆12Updated 2 years ago
- The code repository for "Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning" (ICML24)☆10Updated last year
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆14Updated 2 months ago
- A repository and benchmark for online test-time adaptation.☆237Updated last month
- Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning☆26Updated last year
- [ICCV 2023] Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning☆25Updated 6 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
- The code repository for "Task-Agnostic Guided Feature Expansion for Class-Incremental Learning" (CVPR25)☆18Updated 3 months ago
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆26Updated 2 years ago
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆131Updated last year
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆86Updated 8 months ago
- ☆10Updated last year
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆56Updated last month