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Few-Shot Class-Incremental Learning

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보존된 평가 기록: 29

코드

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

https://github.com/1170300714/cbs

공식 코드

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/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/RobinLu1209/Geometer

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

https://github.com/ahmadisahar/accv_fcil3d

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Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free Adaptor

https://github.com/aliayub7/cbcl-pr

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CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics

https://github.com/arvin0313/mecoin-gfscil

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An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning

https://github.com/canpeng123/fscil_alice

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Few-Shot Class-Incremental Learning from an Open-Set Perspective

https://github.com/chrismcclurg/fscil-acs

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Active Class Selection for Few-Shot Class-Incremental Learning

https://github.com/dawnliu35/fscil-asp

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Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt

https://github.com/demonjianz/s2c

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Constructing Sample-to-Class Graph for Few-Shot Class-Incremental Learning

https://github.com/dipamgoswami/fscil-calibration

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Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers

https://github.com/feyzaakyurek/subspace-reg

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Subspace Regularizers for Few-Shot Class Incremental Learning

https://github.com/hit-leaderone/filp-3d

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FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language Models

https://github.com/hit-leaderone/flip-3d

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FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language Models

https://github.com/ibm/constrained-fscil

공식 코드

Constrained Few-shot Class-incremental Learning

https://github.com/ihaeyong/pfnr

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Continual Learning: Forget-free Winning Subnetworks for Video Representations

https://github.com/ihaeyong/softnet-fscil

공식 코드

On the Soft-Subnetwork for Few-shot Class Incremental Learning

https://github.com/isee-laboratory/revisting_fscil

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Rethinking Few-shot Class-incremental Learning: Learning from Yourself

https://github.com/jayatejak/s3c

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S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-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/khu-agi/privilege

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

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/moukamisama/f2m

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Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima

https://github.com/naeem-paeedeh/robusta

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Few-Shot Class Incremental Learning via Robust Transformer Approach

https://github.com/neuralcollapseapplications/unicil

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Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants

https://github.com/noorahmedds/orco

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OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning

https://github.com/pulp-platform/fscil

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12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning

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

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

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

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

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

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

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

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

https://github.com/tldoan/clip_m3

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

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

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

https://github.com/wangkiw/teen

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Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration

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