S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning

5 July 2023

Papers citing "S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning"

23 / 23 papers shown

Title
Multiple Stochastic Prompt Tuning for Practical Cross-Domain Few Shot Learning Debarshi Brahma Soma Biswas VLM 42 0 0 04 Jun 2025
Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning Juntae Lee Munawar Hayat Sungrack Yun CLL 17 0 0 04 Jun 2025
Few-Shot Class-Incremental Learning For Efficient SAR Automatic Target Recognition George Karantaidis Athanasios Pantsios I. Kompatsiaris Symeon Papadopoulos 36 0 0 26 May 2025
A New Benchmark for Few-Shot Class-Incremental Learning: Redefining the Upper Bound Shiwon Kim Dongjun Hwang Sungwon Woo Rita Singh CLL 125 0 0 13 Mar 2025
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning Pengfei Fang Yongchun Qin H. Xue CLL 125 0 0 15 Dec 2024
Embedding Space Allocation with Angle-Norm Joint Classifiers for Few-Shot Class-Incremental Learning Dunwei Tu Huiyu Yi T. Zhang Ruotong Li Furao Shen Jian Zhao 43 0 0 14 Nov 2024
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning Junghun Oh Sungyong Baik Kyoung Mu Lee CLL 89 4 0 08 Oct 2024
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data Cuiwei Liu Siang Xu Huaijun Qiu Jing Zhang Zhi Liu Liang Zhao CLL 84 0 0 18 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 107 1 0 19 Aug 2024
AggSS: An Aggregated Self-Supervised Approach for Class-Incremental Learning Jayateja Kalla Soma Biswas SSL 78 0 0 08 Aug 2024
Rethinking Few-shot Class-incremental Learning: Learning from Yourself Yu-Ming Tang Yi-Xing Peng Jingke Meng Wei-Shi Zheng CLL 96 6 0 10 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 127 2 0 04 Jun 2024
Few-Shot Class Incremental Learning via Robust Transformer Approach Naeem Paeedeh Mahardhika Pratama S. Wibirama Wolfgang Mayer Zehong Cao Ryszard Kowalczyk CLL 98 2 0 08 May 2024
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning Songlin Dong Yingjie Chen Yuhang He Yuhan Jin Alex C. Kot Yihong Gong CLL 88 0 0 21 Apr 2024
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers Dipam Goswami Bartlomiej Twardowski Joost van de Weijer 81 4 0 09 Apr 2024
Bias Mitigating Few-Shot Class-Incremental Learning Li-Jun Zhao Zhen-Duo Chen Ziya Zhang Xin Luo Xin-Shun Xu CLL 93 1 0 01 Feb 2024
Big-model Driven Few-shot Continual Learning Ziqi Gu Chunyan Xu Zihan Lu Xin Liu Anbo Dai Zhen Cui CLL 62 1 0 02 Sep 2023
Few-Shot Continual Learning via Flat-to-Wide Approaches M. A. Ma'sum Mahardhika Pratama E. Lughofer Lin Liu Habibullah Habibullah Ryszard Kowalczyk VLM CLL 90 4 0 26 Jun 2023
A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill Recognition Jinghua Zhang Li Liu Kai Gao Dewen Hu CLL MedIm 64 4 0 24 Apr 2023
A Survey on Few-Shot Class-Incremental Learning Song Tian Lusi Li Weijun Li Hang Ran Xin Ning Prayag Tiwari CLL 98 110 0 17 Apr 2023
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning Wen-Qiang Qiu Sichao Fu Jingyi Zhang Chengxiang Lei Qinmu Peng 64 11 0 27 Mar 2023
Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement Fushuo Huo Wenchao Xu Jingcai Guo Yining Qi Yunfeng Fan Song Guo CLL 134 16 0 20 Mar 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 236 712 0 31 Jan 2023