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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/jaryP/Cascaded-Scaling-Classifier

공식 코드

Class incremental learning with probability dampening and cascaded gated classifier

https://github.com/jaryp/cil-margin-dampening-gated-classifier

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Class incremental learning with probability dampening and cascaded gated classifier

https://github.com/jayatejak/gvalign

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Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learning

https://github.com/jayatejak/s3c

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S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning

https://github.com/jiahuadong/hfc

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Heterogeneous Forgetting Compensation for Class-Incremental Learning

https://github.com/jiahuadong/lga

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No One Left Behind: Real-World Federated Class-Incremental Learning

https://github.com/jiangpenghe/cl-lora

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CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning

https://github.com/jianzhangcs/r-dfcil

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R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning

https://github.com/josephkj/eli

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Energy-based Latent Aligner for Incremental Learning

https://github.com/junghunoh/closer_eccv2024

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CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning

https://github.com/k-gyuhak/clom

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Continual Learning Based on OOD Detection and Task Masking

https://github.com/k-gyuhak/clood

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Learnability and Algorithm for Continual Learning

https://github.com/k-gyuhak/more

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A Multi-Head Model for Continual Learning via Out-of-Distribution Replay

https://github.com/k-gyuhak/wptp

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A Theoretical Study on Solving Continual Learning

https://github.com/kerrydrx/escort

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Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning

https://github.com/khu-agi/privilege

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Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners

https://github.com/kibok90/iccv2019-inc

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Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild

https://github.com/kikihub/consense

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ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking

https://github.com/kitbransby/class-incremental-learning-echo

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Multi-Site Class-Incremental Learning with Weighted Experts in Echocardiography

https://github.com/kminsoo/afc

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Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation

https://github.com/ky-ah/layup

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Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models

https://github.com/libo-huang/PrePrompt

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PrePrompt: Predictive prompting for class incremental learning

https://github.com/lifelong-ml/shels

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SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries

https://github.com/lilyht/cil-mgrb

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Multi-Granularity Regularized Re-Balancing for Class Incremental Learning

https://github.com/lilyht/create

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Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds

https://github.com/linhaowei1/tpl

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Class Incremental Learning via Likelihood Ratio Based Task Prediction

https://github.com/linhaowei1/tplr

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Class Incremental Learning via Likelihood Ratio Based Task Prediction

https://github.com/linlany/rapf

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Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion

https://github.com/liuh127/FSCIL-via-Entropy-regularized-DF-Replay

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Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay

https://github.com/liuyuchen-cz/f-oal

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F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning

https://github.com/lloongx/diki

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Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models

https://github.com/lsabetta/mind

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MIND: Multi-Task Incremental Network Distillation

https://github.com/lttm/cl-pcss

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Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse Data

https://github.com/lykaust15/SupportNet

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SupportNet: solving catastrophic forgetting in class incremental learning with support data

https://github.com/lywang3081/MRDC

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Memory Replay with Data Compression for Continual Learning

https://github.com/lywang3081/TMNs

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Triple Memory Networks: a Brain-Inspired Method for Continual Learning

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