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

8 December 2023

Da-Wei Zhou

Han-Jia Ye

Papers citing "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration"

30 / 30 papers shown

Title
Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Meng Cui Xianghu Yue Xinyuan Qian Jinzheng Zhao Haohe Liu Xubo Liu Daoliang Li Wenwu Wang 19 0 0 21 Apr 2025
A New Benchmark for Few-Shot Class-Incremental Learning: Redefining the Upper Bound Shiwon Kim Dongjun Hwang Sungwon Woo Rita Singh CLL 50 0 0 13 Mar 2025
Few-Shot Class-Incremental Model Attribution Using Learnable Representation From CLIP-ViT Features Hanbyul Lee Juneho Yi DiffM 36 0 0 11 Mar 2025
Brain-inspired analogical mixture prototypes for few-shot class-incremental learning Wanyi Li Wei Wei Yongkang Luo Peng Wang CLL 47 0 0 26 Feb 2025
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning M. A. Ma'sum Mahardhika Pratama Igor Skrjanc CLL 31 0 0 12 Feb 2025
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning Parinita Nema V. Kurmi CLL 56 0 0 17 Jan 2025
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Representation Space Guided Inversion Chenqi Li Boyan Gao Gabriel Jones Timothy Denison Tingting Zhu 67 0 0 18 Dec 2024
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Chengyan Liu Linglan Zhao Fan Lyu Kaile Du Fuyuan Hu Tao Zhou CLL 71 0 0 17 Dec 2024
Covariance-based Space Regularization for Few-shot Class Incremental Learning Yijie Hu Guanyu Yang Zhaorui Tan Xiaowei Huang K. Huang Qiu-Feng Wang CLL 18 0 0 02 Nov 2024
Knowledge Adaptation Network for Few-Shot Class-Incremental Learning Ye Wang Yaxiong Wang Guoshuai Zhao Xueming Qian CLL 24 0 0 18 Sep 2024
From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion Yifei Yao Hanrong Zhang 31 1 0 12 Sep 2024
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning Zhi-Hong Qi Da-Wei Zhou Yiran Yao Han-Jia Ye De-Chuan Zhan CLL 31 5 0 11 Sep 2024
Few-Shot Continual Learning for Activity Recognition in Classroom Surveillance Images Yilei Qian Kanglei Geng Kailong Chen Shaoxu Cheng Linfeng XU Hongliang Li Fanman Meng Q. Wu CLL 13 0 0 05 Sep 2024
Towards Few-Shot Learning in the Open World: A Review and Beyond Hui Xue Yuexuan An Yongchun Qin Wenqian Li Yixin Wu Yongjuan Che Pengfei Fang Minling Zhang OffRL 44 0 0 19 Aug 2024
Rethinking Few-shot Class-incremental Learning: Learning from Yourself Yu-Ming Tang Yi-Xing Peng Jingke Meng Wei-Shi Zheng CLL 22 0 0 10 Jul 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning Xiaojie Li Yibo Yang Jianlong Wu Bernard Ghanem Liqiang Nie Min Zhang Mamba 36 5 0 08 Jul 2024
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification M. A. Ma'sum Mahardhika Pratama Ramasamy Savitha Lin Liu Habibullah Habibullah Ryszard Kowalczyk CLL 28 2 0 04 Jun 2024
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning Haichen Zhou Yixiong Zou Ruixuan Li Yuhua Li Kui Xiao 14 1 0 08 May 2024
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers Dipam Goswami Bartlomiej Twardowski J. Weijer 42 4 0 09 Apr 2024
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning Da-Wei Zhou Hai-Long Sun Han-Jia Ye De-Chuan Zhan CLL 27 51 0 18 Mar 2024
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning Yuanen Zhou Richang Hong Yanrong Guo Lin Liu Shijie Hao Hanwang Zhang 16 0 0 17 Mar 2024
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt Chenxi Liu Zhenyi Wang Tianyi Xiong Ruibo Chen Yihan Wu Junfeng Guo Heng-Chiao Huang CLL 37 7 0 14 Mar 2024
Unlocking the Potential of Multimodal Unified Discrete Representation through Training-Free Codebook Optimization and Hierarchical Alignment Hai Huang Yan Xia Shengpeng Ji Shulei Wang Hanting Wang Jieming Zhu Zhenhua Dong Zhou Zhao 14 6 0 08 Mar 2024
Bias Mitigating Few-Shot Class-Incremental Learning Li-Jun Zhao Zhen-Duo Chen Ziya Zhang Xin Luo Xin-Shun Xu CLL 19 1 0 01 Feb 2024
Continual Learning with Pre-Trained Models: A Survey Da-Wei Zhou Hai-Long Sun Jingyi Ning Han-Jia Ye De-Chuan Zhan CLL KELM 26 62 0 29 Jan 2024
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need Da-Wei Zhou Han-Jia Ye De-Chuan Zhan Ziwei Liu CLL 28 99 0 13 Mar 2023
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 191 316 0 16 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 234 11,568 0 09 Mar 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 236 35,884 0 25 Aug 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014