ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.15524
  4. Cited By
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot
  Class-Incremental Learning

MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning

28 June 2020
Hanbin Zhao
Yongjian Fu
Mintong Kang
Qi Tian
Fei Wu
Xi Li
    CLL
ArXivPDFHTML

Papers citing "MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning"

16 / 16 papers shown
Title
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
Linhao Li
Yongzhang Tan
Siyuan Yang
Hao Cheng
Yongfeng Dong
Liang Yang
CLL
44
0
0
15 Apr 2025
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning
J. Guo
Xiaoguang Zhu
Xiaoguang Zhu
Lianlong Sun
Liangyu Teng
Y. Liu
Di Li
Wei Zhou
Liang Song
CLL
VLM
59
1
0
24 Mar 2025
Cross-Modal and Uncertainty-Aware Agglomeration for Open-Vocabulary 3D Scene Understanding
Cross-Modal and Uncertainty-Aware Agglomeration for Open-Vocabulary 3D Scene Understanding
Jinlong Li
Cristiano Saltori
Fabio Poiesi
N. Sebe
94
0
0
20 Mar 2025
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
Guannan Lai
Yujie Li
Xiangkun Wang
J. Zhang
Tianrui Li
Xin Yang
CLL
39
0
0
27 Feb 2025
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
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Da-Wei Zhou
Zi-Wen Cai
Han-Jia Ye
Lijun Zhang
De-Chuan Zhan
CLL
AI4CE
41
2
0
01 Oct 2024
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental
  Learning
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning
Songsong Tian
Lusi Li
Weijun Li
Hang Ran
Li Li
X. Ning
CLL
VLM
29
3
0
26 Jan 2024
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
Hai-Long Sun
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
100
27
0
13 Sep 2023
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Jiahua Dong
Wenqi Liang
Yang Cong
Gan Sun
CLL
19
19
0
07 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental
  Learning and Its Variants
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
Yibo Yang
Haobo Yuan
Xiangtai Li
Jianlong Wu
Lefei Zhang
Zhouchen Lin
Philip H. S. Torr
Dacheng Tao
Bernard Ghanem
CLL
22
8
0
03 Aug 2023
Learning without Forgetting for Vision-Language Models
Learning without Forgetting for Vision-Language Models
Da-Wei Zhou
Yuanhan Zhang
Jingyi Ning
Jingyi Ning
De-Chuan Zhan
De-Chuan Zhan
Ziwei Liu
VLM
CLL
69
37
0
30 May 2023
Few-shot Class-incremental Learning for Cross-domain Disease
  Classification
Few-shot Class-incremental Learning for Cross-domain Disease Classification
Han Yang
Weijian Huang
Jiarun Liu
Cheng Li
Shanshan Wang
CLL
16
4
0
12 Apr 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class
  Incremental Learning
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning
Yibo Yang
Haobo Yuan
Xiangtai Li
Zhouchen Lin
Philip H. S. Torr
Dacheng Tao
CLL
22
95
0
06 Feb 2023
Learning Disentangled Label Representations for Multi-label
  Classification
Learning Disentangled Label Representations for Multi-label Classification
Jian Jia
Fei He
Naiyu Gao
Xiaotang Chen
Kaiqi Huang
24
2
0
02 Dec 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental
  Learning
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
Da-Wei Zhou
Qiwen Wang
Han-Jia Ye
De-Chuan Zhan
19
122
0
26 May 2022
Adversarial Continual Learning
Adversarial Continual Learning
Sayna Ebrahimi
Franziska Meier
Roberto Calandra
Trevor Darrell
Marcus Rohrbach
CLL
VLM
147
195
0
21 Mar 2020
1