Learnable Distribution Calibration for Few-Shot Class-Incremental
Learning

Learnable Distribution Calibration for Few-Shot Class-Incremental Learning

1 October 2022

Papers citing "Learnable Distribution Calibration for Few-Shot Class-Incremental Learning"

10 / 10 papers shown

Title
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 41 0 0 12 Feb 2025
Covariance-based Space Regularization for Few-shot Class Incremental Learning Yijie Hu Guanyu Yang Zhaorui Tan Xiaowei Huang K. Huang Qiu-Feng Wang CLL 36 0 0 02 Nov 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
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning Yuanen Zhou Richang Hong Yanrong Guo Lin Liu Shijie Hao Hanwang Zhang 18 0 0 17 Mar 2024
A Survey on Few-Shot Class-Incremental Learning Song Tian Lusi Li Weijun Li Hang Ran X. Ning Prayag Tiwari CLL 26 100 0 17 Apr 2023
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning Marco D’Alessandro Alberto Alonso Enrique Calabrés M. Galar CLL 35 13 0 08 Mar 2023
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang C. Miao Xiansheng Hua Hanwang Zhang CML 174 175 0 02 Mar 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 208 322 0 16 Jan 2021
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning Sung Whan Yoon Do-Yeon Kim Jun Seo Jaekyun Moon CLL 173 46 0 19 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 252 11,677 0 09 Mar 2017