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Class Incremental Learning

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하위 태스크: 3
평가표: 6
보존된 평가 기록: 14

Incremental learning of a sequence of tasks when the task-ID is not available at test time.

코드

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

https://github.com/rahafaljundi/Gradient-based-Sample-Selection

공식 코드

Gradient based sample selection for online continual learning

https://github.com/renaisscode/engine

공식 코드

External Knowledge Injection for CLIP-Based Class-Incremental Learning

https://github.com/rhe502/icml25-dpcr

공식 코드

Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning

https://github.com/roadonep/eccv2024_mbs

공식 코드

Mitigating Background Shift in Class-Incremental Semantic Segmentation

https://github.com/ruidaniel/rbaca

공식 코드

Continual Deep Active Learning for Medical Imaging: Replay-Base Architecture for Context Adaptation

https://github.com/salehmomeni/klda

공식 코드

Continual Learning Using a Kernel-Based Method Over Foundation Models

https://github.com/sanaAyrml/Class-Impresion-for-Data-free-Incremental-Learning

공식 코드

Class Impression for Data-free Incremental Learning

https://github.com/scok30/mae-cil

공식 코드

Masked Autoencoders are Efficient Class Incremental Learners

https://github.com/scok30/tass

공식 코드

Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning

https://github.com/scok30/vit-cil

공식 코드

Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning

https://github.com/shahariel/TEAL

공식 코드

TEAL: New Selection Strategy for Small Buffers in Experience Replay Class Incremental Learning

https://github.com/shaoyijia/vag

공식 코드

Class-Incremental Learning based on Label Generation

https://github.com/shuvenduroy/coact-fscil

공식 코드

Few-shot Tuning of Foundation Models for Class-incremental Learning

https://github.com/simomagi/elastic_feature_consolidation

공식 코드

Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning

https://github.com/skylorh/FedCLASS

공식 코드

Federated Class-Incremental Learning with New-Class Augmented Self-Distillation

https://github.com/srebuffi/iCaRL

공식 코드

iCaRL: Incremental Classifier and Representation Learning

https://github.com/stonemo/cign

공식 코드

Class-Incremental Grouping Network for Continual Audio-Visual Learning

https://github.com/sud0301/essentials_for_CIL

공식 코드

Essentials for Class Incremental Learning

https://github.com/sun-hailong/aaai25-mos

공식 코드

MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning

https://github.com/sun-hailong/cvpr24-ease

공식 코드

Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning

https://github.com/sun-hailong/lamda-pilot

공식 코드

PILOT: A Pre-Trained Model-Based Continual Learning Toolbox

https://github.com/tachyonicclock/surprisenet-cikm-23

공식 코드

Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning

https://github.com/tamasham/napa-vq

공식 코드

NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning

https://github.com/tambourine666/Covariance-Space-Regularize

공식 코드

Covariance-based Space Regularization for Few-shot Class Incremental Learning

https://github.com/tdemin16/multi-lane

공식 코드

Less is more: Summarizing Patch Tokens for efficient Multi-Label Class-Incremental Learning

https://github.com/tf63/acmap

공식 코드

Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning

https://github.com/thunderbeee/zscl

공식 코드

Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models

https://github.com/tiansongs/pl-fscil

공식 코드

PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning

https://github.com/tldoan/clip-m3

공식 코드

A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets

https://github.com/tldoan/clip_m3

공식 코드

A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets

https://github.com/tmtuan1307/lander

공식 코드

Text-Enhanced Data-free Approach for Federated Class-Incremental Learning

https://github.com/townim-faisal/fscil-3d

공식 코드

Few-shot Class-incremental Learning for 3D Point Cloud Objects

https://github.com/tulerfeng/OTGNet

공식 코드

Towards Open Temporal Graph Neural Networks

https://github.com/tyler-hayes/Deep_SLDA

공식 코드

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis

https://github.com/ubc-tea/continual-impression-ccsi

공식 코드

CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning

https://github.com/umbertocappellazzo/CL_SLU

공식 코드

An Investigation of the Combination of Rehearsal and Knowledge Distillation in Continual Learning for Spoken Language Understanding

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