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class-incremental learning

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/1170300714/cbs

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Class Balance Matters to Active Class-Incremental Learning

https://github.com/1170300714/lp-dif

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Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning

https://github.com/2younis/DFGRID

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Data-Free Generative Replay for Class-Incremental Learning on Imbalanced Data

https://github.com/2younis/dfgr

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Data-Free Generative Replay for Class-Incremental Learning on Imbalanced Data

https://github.com/AlbinSou/cross_task_cil

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On the importance of cross-task features for class-incremental learning

https://github.com/BoSmallEar/COOLer

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COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking

https://github.com/ContinualAI/avalanche

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Avalanche: an End-to-End Library for Continual Learning

https://github.com/CyanML/FTF-ER

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FTF-ER: Feature-Topology Fusion-Based Experience Replay Method for Continual Graph Learning

https://github.com/Debatrix/UPCL

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Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective

https://github.com/DigiTurk84/class-incremental-polytope

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Class-incremental Learning with Pre-allocated Fixed Classifiers

https://github.com/EdenBelouadah/class-incremental-learning

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ScaIL: Classifier Weights Scaling for Class Incremental Learning

https://github.com/G-U-N/ECCV22-FOSTER

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FOSTER: Feature Boosting and Compression for Class-Incremental Learning

https://github.com/GMvandeVen/class-incremental-learning

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Class-Incremental Learning with Generative Classifiers

https://github.com/GMvandeVen/continual-learning

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Three scenarios for continual learning

https://github.com/GT-RIPL/AlwaysBeDreaming-DFCIL

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Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning

https://github.com/GhadaSokar/AFAF

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Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks

https://github.com/GhadaSokar/Invariant-Representation-for-Continual-Learning

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Learning Invariant Representation for Continual Learning

https://github.com/GhadaSokar/SpaceNet

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SpaceNet: Make Free Space For Continual Learning

https://github.com/GuangmingZhu/SketchIME

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Sketch Input Method Editor: A Comprehensive Dataset and Methodology for Systematic Input Recognition

https://github.com/HAIV-Lab/Knowe

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Coarse-To-Fine Incremental Few-Shot Learning

https://github.com/JoyHuYY1412/DDE_CIL

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Distilling Causal Effect of Data in Class-Incremental Learning

https://github.com/Mattdl/ContinualPrototypeEvolution

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Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams

https://github.com/MostafaRahgouy/AA-CIL

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Towards Effective Authorship Attribution: Integrating Class-Incremental Learning

https://github.com/MrPio/KAN-Continual_Learning_tests

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A preliminary study on continual learning in computer vision using Kolmogorov-Arnold Networks

https://github.com/NeurAI-Lab/AGILE

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Mitigating Interference in the Knowledge Continuum through Attention-Guided Incremental Learning

https://github.com/NeuralCollapseApplications/FSCIL

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Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning

https://github.com/Programmergg/NTK-FSCIL

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NTK-Guided Few-Shot Class Incremental Learning

https://github.com/QFerdi/FECIL

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Feature Expansion and enhanced Compression for Class Incremental Learning

https://github.com/RaptorMai/online-continual-learning

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Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning

https://github.com/Rhyssiyan/DER-ClassIL.pytorch

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DER: Dynamically Expandable Representation for Class Incremental Learning

https://github.com/RobinLu1209/Geometer

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Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation

https://github.com/SunWenJu123/DCPOC

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Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers

https://github.com/Vision-sejin/FDCNet

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FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object Localization

https://github.com/YanFangCS/IPSeg

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IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation

https://github.com/YukunLi99/CoLeCLIP

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CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning

https://github.com/ZHUANGHP/Analytic-continual-learning

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ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection

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