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Few-Shot Class-Incremental Learning

Papers

Showing 51100 of 118 papers

TitleStatusHype
A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill RecognitionCode0
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental LearningCode0
A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained DatasetsCode0
Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free AdaptorCode0
Few-Shot Class Incremental Learning via Robust Transformer ApproachCode0
Few-shot Tuning of Foundation Models for Class-incremental LearningCode0
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning0
Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces0
TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning0
Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation0
Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning0
Two-level Graph Network for Few-Shot Class-Incremental Learning0
Inductive Graph Few-shot Class Incremental Learning0
A Bag of Tricks for Few-Shot Class-Incremental Learning0
Adaptive Additive Parameter Updates of Vision Transformers for Few-Shot Continual Learning0
Aggregated f-average Neural Network for Interpretable Ensembling0
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Representation Space Guided Inversion0
A New Benchmark for Few-Shot Class-Incremental Learning: Redefining the Upper Bound0
An experimental approach on Few Shot Class Incremental Learning0
A Survey on Few-Shot Class-Incremental Learning0
Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning0
Balanced Supervised Contrastive Learning for Few-Shot Class-Incremental Learning0
Bias Mitigating Few-Shot Class-Incremental Learning0
Brain-inspired analogical mixture prototypes for few-shot class-incremental learning0
Breaking Fine-Grained Classification Barriers with Cost-Free Data in Few-Shot Class-Incremental Learning0
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning0
Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning0
Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning0
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning0
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning0
Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning0
Diffusion Meets Few-shot Class Incremental Learning0
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches0
Dual Embodied-Symbolic Concept Representations for Deep Learning0
Embedding Space Allocation with Angle-Norm Joint Classifiers for Few-Shot Class-Incremental Learning0
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models0
Evaluating Pretrained models for Deployable Lifelong Learning0
Evolving Dictionary Representation for Few-shot Class-incremental Learning0
Exemplar-Based Contrastive Self-Supervised Learning with Few-Shot Class Incremental Learning0
Few-shot Class-incremental Learning for Classification and Object Detection: A Survey0
Few-Shot Class-Incremental Learning For Efficient SAR Automatic Target Recognition0
Few-shot Class-incremental Learning for Cross-domain Disease Classification0
Few-Shot Class-Incremental Learning for Named Entity Recognition0
Few Shot Class Incremental Learning using Vision-Language models0
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning0
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data0
FSCIL-SEI: Few-Shot Class-Incremental Learning Approach for Specific Emitter Identification0
Hyperbolic Uncertainty-Aware Few-Shot Incremental Point Cloud Segmentation0
Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning0
Incremental few-shot learning via vector quantization in deep embedded space0
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