nazmul-karim170 / CNLLLinks
[CVPR'22] Official Implementation of "CNLL: A Semi-supervised Approach for Continual Noisy Label Learning"
☆18Updated last year
Alternatives and similar repositories for CNLL
Users that are interested in CNLL are comparing it to the libraries listed below
Sorting:
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆77Updated 8 months ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆67Updated last year
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning (CVPR 2025)☆26Updated 6 months ago
- [ICCV 2023] Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning☆29Updated 11 months ago
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆33Updated last year
- Implementation of <Contrastive Open Set Recognition> (AAAI-23)☆20Updated 2 years ago
- The code repository for "Task-Agnostic Guided Feature Expansion for Class-Incremental Learning" (CVPR25)☆21Updated 7 months ago
- The code repository for "Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning" (ICML24)☆11Updated last year
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆41Updated last year
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆57Updated 9 months ago
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆137Updated 2 years ago
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023)☆38Updated 2 years ago
- ☆33Updated 2 years ago
- Class-Incremental Learning: A Survey (TPAMI 2024)☆270Updated last year
- Label-Noise Learning with Intrinsically Long-Tailed Data(ICCV2023)☆20Updated 2 years ago
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆26Updated 3 years ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆117Updated 2 years ago
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆16Updated 7 months ago
- ☆14Updated 2 years ago
- ☆10Updated 2 years ago
- Domain Adaptation with Adversarial Training on Penultimate Activations (AAAI 2023)☆11Updated 2 years ago
- [CVPR 2023] Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery☆26Updated last year
- ☆15Updated 2 years ago
- Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning☆26Updated 2 years ago
- A repository and benchmark for online test-time adaptation.☆254Updated 6 months ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆105Updated last year
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆52Updated last year
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆150Updated last year
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆102Updated 4 years ago
- This is an official PyTorch implementation of CBA: Improving Online Continual Learning via Continual Bias Adaptor.☆17Updated last year