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Learnable Expansion-and-Compression Network for Few-shot
  Class-Incremental Learning

Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning

6 April 2021
Boyu Yang
Mingbao Lin
Binghao Liu
Mengying Fu
Chang-rui Liu
Rongrong Ji
QiXiang Ye
    CLL
ArXivPDFHTML

Papers citing "Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning"

3 / 3 papers shown
Title
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
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
XtarNet: Learning to Extract Task-Adaptive Representation for
  Incremental Few-Shot Learning
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
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
311
11,681
0
09 Mar 2017
1