Continual improvements are being made to this repository. If you come across any relevant papers that should be included, please don't hesitate to open an issue or email me with liubz.scut@gmail.com.
- Last update on 2024.11.06.
CIFAR-100
MiniImageNet
CUB-200
(Neural Networks 2024) A survey on few-shot class-incremental learning [paper] [code]
(arxiv 2024.10.11) Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free Adaptor [paper] [code]
(ECCV2024) Canonical Shape Projection is All You Need for 3D Few-shot Class Incremental Learning [paper] [code]
(WACV2024) Cross-Domain Few-Shot Incremental Learning for Point-Cloud Recognition [paper]
(arxiv 2023.12.28) FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language Models [paper] [code]
(ECCV2022) Few-shot class-incremental learning for 3d point cloud objects [paper] [code]
(CVPR2022) Few-shot incremental learning for label-to-image translation [paper]
(arxiv 2024.01.26) PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning [paper] [code]
(arxiv 2024.01.14) Enhanced Few-Shot Class-Incremental Learning via Ensemble Models [paper]
(arxiv 2024.01.03) Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning [paper]
(ECCV2024) Few-Shot Class Incremental Learning with Attention-Aware Self-adaptive Prompt [paper] [code]
(ICML2024) Compositional Few-Shot Class-Incremental Learning [paper] [code]
(CVPR2024 workshop) Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers [paper] [code]
(CVPR2024) OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning [paper] [code]
(CVPR2024) Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners [paper] [code]
(WACV2024) Expanding Hyperspherical Space for Few-Shot Class-Incremental Learning [paper]
(AAAI2024) M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning [paper]
(CoLLAs2023) Active Class Selection for Few-Shot Class-Incremental Learning [paper]
(NeuIPS2023) Few-shot class-incremental learning via training-free prototype calibration [paper] [code]
(ICCV2023 workshop) Decision Boundary Optimization for Few-Shot Class-Incremental Learning [paper]
(ICCV2023 workshop) Multimodal Parameter-Efficient Few-Shot Class Incremental Learning [paper] [code]
(ICCV2023) Few-shot continual infomax learning [paper]
(CVPR2023) Learning with fantasy: Semantic-aware virtual contrastive constraint for few-shot class-incremental learning [paper] [code]
(CVPR2023) Gkeal: Gaussian kernel embedded analytic learning for few-shot class incremental task [paper]
(CVPR2023) Few-shot class-incremental learning via class-aware bilateral distillation [paper] [code]
(ICLR2023) Warping the space: Weight space rotation for class-incremental few-shot learning [paper] [code]
(ICLR2023) On the Soft-Subnetwork for Few-shot Class Incremental Learning [paper] [code]
(TCSVT2023) Improved continually evolved classifiers for few-shot class-incremental learning [paper]
(TIP2023) Memorizing complementation network for few-shot class-incremental learning [paper]
(TPAMI2023) Learnable distribution calibration for few-shot class-incremental learning [paper]
(TPAMI2023) Dynamic support network for few-shot class incremental learning [paper] [code]
(TPAMI2023) Few-shot class-incremental learning by sampling multi-phase tasks [paper] [code]
(TNNLS2023) Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning [paper] [code]
(NeuIPS2022) Margin-based few-shot class-incremental learning with class-level overfitting mitigation [paper]
(ACMMM2022) Semantics-driven generative replay for few-shot class incremental learning [paper]
(ECCV2022) Few-shot class-incremental learning via entropy-regularized data-free replay [paper] [code]
(ECCV2022) S3c: Self-supervised stochastic classifiers for few-shot class-incremental learning [paper] [code]
(ECCV2022) Coarse-to-fine incremental few-shot learning [paper] [code]
(ECCV2022) Few-shot class-incremental learning from an open-set perspective [paper] [code]
(CVPR2022 workshop) Variable few shot class incremental and open world learning [paper] [code]
(CVPR2022 workshop) Few-shot class incremental learning leveraging self-supervised features [paper] [code]
(CVPR2022) Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches [paper] [code]
(CVPR2022) Metafscil: A meta-learning approach for few-shot class incremental learning [paper]
(CVPR2022) Forward compatible few-shot class-incremental learning [paper] [code]
(CVPR2022) Constrained few-shot class-incremental learning [paper] [code]
(ICLR2022) Subspace Regularizers for Few-Shot Class Incremental Learning [paper] [code]
(TMM2022) Uncertainty-guided semi-supervised few-shot class-incremental learning with knowledge distillation [paper]
(NeuIPS2021) Overcoming catastrophic forgetting in incremental few-shot learning by finding flat minima [paper] [code]
(ICCV2021) Synthesized feature based few-shot class-incremental learning on a mixture of subspaces [paper] [code]~(Empty yet.)
(ICCV2021) Generalized and incremental few-shot learning by explicit learning and calibration without forgetting [paper] [code]
(ICML2021) Gp-tree: A gaussian process classifier for few-shot incremental learning [paper] [code]
(CVPR2021) Semantic-aware knowledge distillation for few-shot class-incremental learning [paper] [code]~(Empty yet.)
(CVPR2021) Self-promoted prototype refinement for few-shot class-incremental learning [paper] [code]
(CVPR2021) Few-shot incremental learning with continually evolved classifiers [paper] [code]
(ICLR2021) Incremental few-shot learning via vector quantization in deep embedded space [paper] [code]
(AAAI2021) Few-shot class-incremental learning via relation knowledge distillation [paper]
(AAAI2021) Few-Shot Lifelong Learning [paper] [code]
(TPAMI2021) Mgsvf: Multi-grained slow versus fast framework for few-shot class-incremental learning [paper]
(IROS2020) Tell me what this is: Few-Shot Incremental Object Learning by a Robot [paper]
(ECCV2020) Incremental Few-Shot Meta-learning via Indirect Discriminant Alignment [paper]
(CVPR2020) Few-Shot Class-Incremental Learning [paper] [code]
(ICML2020) XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning [paper] [code]
(NeurIPS2019) Incremental few-shot learning with attention attractor networks [paper] [code]
(CVPR2018) Dynamic Few-Shot Visual Learning Without Forgetting [paper] [code]
(AAAI2023) Incremental-detr: Incremental few-shot object detection via self-supervised learning [paper] [code]~(Empty yet.)
(CVPR2022) Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection [paper] [code]
(TCSVT2022) Meta-learning-based incremental few-shot object detection [paper] [code]
(CVPR2020) Incremental Few-Shot Object Detection [paper]
(ACMMM2023) Incremental Few Shot Semantic Segmentation via Class-agnostic Mask Proposal and Language-driven Classifier [paper] [code]
(ACMMM2022) Incremental few-shot semantic segmentation via embedding adaptive-update and hyper-class representation [paper]
(CVPR2022) ifs-rcnn: An incremental few-shot instance segmenter [paper] [code]
(CVPR2021) Incremental few-shot instance segmentation [paper] [code]
(BMCV2021) Prototype-based Incremental Few-Shot Semantic Segmentation [paper] [code]