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. 2403.12559
  4. Cited By
Confidence Self-Calibration for Multi-Label Class-Incremental Learning

Confidence Self-Calibration for Multi-Label Class-Incremental Learning

19 March 2024
Kaile Du
Yifan Zhou
Fan Lyu
Yuyang Li
Chen Lu
Guangcan Liu
    CLL
ArXivPDFHTML

Papers citing "Confidence Self-Calibration for Multi-Label Class-Incremental Learning"

5 / 5 papers shown
Title
Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation
Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation
Hongmei Yin
Tingliang Feng
Fan Lyu
Fanhua Shang
Hongying Liu
Wei Feng
Liang Wan
CLL
VLM
69
0
0
28 Mar 2025
Class-Incremental Exemplar Compression for Class-Incremental Learning
Class-Incremental Exemplar Compression for Class-Incremental Learning
Zilin Luo
Yaoyao Liu
Bernt Schiele
Qianru Sun
VLM
CLL
73
44
0
24 Mar 2023
Exploring Example Influence in Continual Learning
Exploring Example Influence in Continual Learning
Q. Sun
Fan Lyu
Fanhua Shang
Wei Feng
Liang Wan
CLL
58
45
0
25 Sep 2022
Rebalancing Batch Normalization for Exemplar-based Class-Incremental
  Learning
Rebalancing Batch Normalization for Exemplar-based Class-Incremental Learning
Sungmin Cha
Sungjun Cho
Dasol Hwang
Sunwon Hong
Moontae Lee
Taesup Moon
CLL
54
18
0
29 Jan 2022
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
206
506
0
15 Jan 2021
1