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. 2402.18528
  4. Cited By
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning

Gradient Reweighting: Towards Imbalanced Class-Incremental Learning

28 February 2024
Jiangpeng He
F. Zhu
    CLL
ArXivPDFHTML

Papers citing "Gradient Reweighting: Towards Imbalanced Class-Incremental Learning"

12 / 12 papers shown
Title
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation
Yiming Li
Yuecong Xu
Junjie Chen
Kemi Ding
3DPC
CLL
42
0
0
02 Apr 2025
S2IL: Structurally Stable Incremental Learning
S2IL: Structurally Stable Incremental Learning
S. Balasubramanian
Yedu Krishna P
Talasu Sai Sriram
M Sai Subramaniam
Manepalli Pranav Phanindra Sai
Darshan Gera
CLL
60
0
0
15 Mar 2025
Graph Neural Network-based Spectral Filtering Mechanism for Imbalance Classification in Network Digital Twin
Graph Neural Network-based Spectral Filtering Mechanism for Imbalance Classification in Network Digital Twin
Abubakar Isah
I. Aliyu
Sulaiman Muhammad Rashid
Jaehyung Park
Minsoo Hahn
Jinsul Kim
27
0
0
17 Feb 2025
FocalCount: Towards Class-Count Imbalance in Class-Agnostic Counting
FocalCount: Towards Class-Count Imbalance in Class-Agnostic Counting
Huilin Zhu
Jingling Yuan
Zhengwei Yang
Yu Guo
Xian Zhong
Shengfeng He
44
0
0
15 Feb 2025
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
Peihua Deng
Jiehua Zhang
Xichun Sheng
C. Yan
Yaoqi Sun
Ying Fu
Liang-Sheng Li
CLL
79
1
0
25 Nov 2024
Long-Tailed Continual Learning For Visual Food Recognition
Long-Tailed Continual Learning For Visual Food Recognition
Jiangpeng He
Luotao Lin
Jack Ma
H. Eicher-Miller
F. Zhu
Fengqing M Zhu
59
14
0
01 Jul 2023
Long-Tailed Class Incremental Learning
Long-Tailed Class Incremental Learning
Xialei Liu
Yu-Song Hu
Xuezhi Cao
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
67
35
0
01 Oct 2022
Influence-Balanced Loss for Imbalanced Visual Classification
Influence-Balanced Loss for Imbalanced Visual Classification
Seulki Park
Jongin Lim
Younghan Jeon
J. Choi
CVBM
90
133
0
06 Oct 2021
Balanced Knowledge Distillation for Long-tailed Learning
Balanced Knowledge Distillation for Long-tailed Learning
Shaoyu Zhang
Chen Chen
Xiyuan Hu
Silong Peng
45
57
0
21 Apr 2021
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren
Cunjun Yu
Shunan Sheng
Xiao Ma
Haiyu Zhao
Shuai Yi
Hongsheng Li
170
550
0
21 Jul 2020
Equalization Loss for Long-Tailed Object Recognition
Equalization Loss for Long-Tailed Object Recognition
Jingru Tan
Changbao Wang
Buyu Li
Quanquan Li
Wanli Ouyang
Changqing Yin
Junjie Yan
269
457
0
11 Mar 2020
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,217
0
01 Sep 2014
1