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. 1712.03162
  4. Cited By
Class Rectification Hard Mining for Imbalanced Deep Learning

Class Rectification Hard Mining for Imbalanced Deep Learning

8 December 2017
Qi Dong
S. Gong
Xiatian Zhu
ArXivPDFHTML

Papers citing "Class Rectification Hard Mining for Imbalanced Deep Learning"

41 / 41 papers shown
Title
AnchorAL: Computationally Efficient Active Learning for Large and
  Imbalanced Datasets
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets
Pietro Lesci
Andreas Vlachos
35
2
0
08 Apr 2024
Zone Evaluation: Revealing Spatial Bias in Object Detection
Zone Evaluation: Revealing Spatial Bias in Object Detection
Zhaohui Zheng
Yuming Chen
Qibin Hou
Xiang Li
Ping Wang
Ming-Ming Cheng
ObjD
27
3
0
20 Oct 2023
Multiple Instance Learning Framework with Masked Hard Instance Mining
  for Whole Slide Image Classification
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification
Wenhao Tang
Sheng Huang
Xiaoxian Zhang
Fengtao Zhou
Yi Zhang
Bo Liu
34
40
0
28 Jul 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust
  Optimization
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization
Ramnath Kumar
Kushal Majmundar
Dheeraj M. Nagaraj
A. Suggala
ODL
37
6
0
15 Jun 2023
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed
  Multi-Label Visual Recognition
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition
Peng Xia
Di Xu
Ming Hu
Lie Ju
Zongyuan Ge
VLM
37
11
0
08 May 2023
Predicting and Enhancing the Fairness of DNNs with the Curvature of
  Perceptual Manifolds
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds
Yanbiao Ma
Licheng Jiao
F. Liu
Maoji Wen
Lingling Li
Wenping Ma
Shuyuan Yang
Xu Liu
Puhua Chen
40
5
0
22 Mar 2023
Joint Learning of Blind Super-Resolution and Crack Segmentation for
  Realistic Degraded Images
Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images
Yuki Kondo
Norimichi Ukita
SupR
24
8
0
24 Feb 2023
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed
  Recognition
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition
Saptarshi Sinha
Hiroki Ohashi
19
6
0
07 Sep 2022
Open Long-Tailed Recognition in a Dynamic World
Open Long-Tailed Recognition in a Dynamic World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
VLM
46
18
0
17 Aug 2022
Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced
  Data
Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced Data
Taha ValizadehAslani
Yiwen Shi
Jing Wang
Ping Ren
Yi Zhang
Meng Hu
Lianggong Zhao
Hualou Liang
36
7
0
22 Jul 2022
A Survey on Long-Tailed Visual Recognition
A Survey on Long-Tailed Visual Recognition
Lu Yang
He Jiang
Q. Song
Jun Guo
27
123
0
27 May 2022
Solving The Long-Tailed Problem via Intra- and Inter-Category Balance
Solving The Long-Tailed Problem via Intra- and Inter-Category Balance
Renhui Zhang
Tiancheng Lin
Rui Zhang
Yi Xu
27
4
0
20 Apr 2022
InCloud: Incremental Learning for Point Cloud Place Recognition
InCloud: Incremental Learning for Point Cloud Place Recognition
Joshua Knights
Peyman Moghadam
Milad Ramezani
Sridha Sridharan
Clinton Fookes
3DPC
35
27
0
02 Mar 2022
FORML: Learning to Reweight Data for Fairness
FORML: Learning to Reweight Data for Fairness
Bobby Yan
Skyler Seto
N. Apostoloff
FaML
29
11
0
03 Feb 2022
Generalized Data Weighting via Class-level Gradient Manipulation
Generalized Data Weighting via Class-level Gradient Manipulation
Can Chen
Shuhao Zheng
Xi Chen
Erqun Dong
Xue Liu
Hao Liu
Dejing Dou
35
24
0
29 Oct 2021
Improving Tail-Class Representation with Centroid Contrastive Learning
Improving Tail-Class Representation with Centroid Contrastive Learning
A. M. H. Tiong
Junnan Li
Guosheng Lin
Boyang Albert Li
Caiming Xiong
Guosheng Lin
VLM
36
13
0
19 Oct 2021
Influence-Balanced Loss for Imbalanced Visual Classification
Influence-Balanced Loss for Imbalanced Visual Classification
Seulki Park
Jongin Lim
Younghan Jeon
J. Choi
CVBM
90
132
0
06 Oct 2021
Variation-Incentive Loss Re-weighting for Regression Analysis on Biased
  Data
Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data
Wentai Wu
Ligang He
Weiwei Lin
18
0
0
14 Sep 2021
Calibrating Class Activation Maps for Long-Tailed Visual Recognition
Calibrating Class Activation Maps for Long-Tailed Visual Recognition
Chi Zhang
Guosheng Lin
Lvlong Lai
Henghui Ding
Qingyao Wu
29
1
0
29 Aug 2021
Procrustean Training for Imbalanced Deep Learning
Procrustean Training for Imbalanced Deep Learning
Han-Jia Ye
De-Chuan Zhan
Wei-Lun Chao
29
31
0
05 Apr 2021
Similarity-based data mining for online domain adaptation of a sonar ATR
  system
Similarity-based data mining for online domain adaptation of a sonar ATR system
Jean de Bodinat
Thomas Guerneve
Jose Vazquez
Marija Jegorova
37
3
0
16 Sep 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partitioning Reservoir Sampling
C. Kim
Jinseo Jeong
Gunhee Kim
CLL
32
101
0
08 Sep 2020
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier
Tz-Ying Wu
Pedro Morgado
Pei Wang
Chih-Hui Ho
Nuno Vasconcelos
13
45
0
20 Jul 2020
Learning to Segment the Tail
Learning to Segment the Tail
Xinting Hu
Yi Jiang
Kaihua Tang
Jingyuan Chen
Chunyan Miao
Hanwang Zhang
VLM
CLL
27
80
0
02 Apr 2020
Domain Balancing: Face Recognition on Long-Tailed Domains
Domain Balancing: Face Recognition on Long-Tailed Domains
Dong Cao
Xiangyu Zhu
Xingyu Huang
Jianzhu Guo
Zhen Lei
CVBM
23
69
0
30 Mar 2020
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition
  from a Domain Adaptation Perspective
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
Muhammad Abdullah Jamal
Matthew A. Brown
Ming-Hsuan Yang
Liqiang Wang
Boqing Gong
37
261
0
24 Mar 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for
  Long-tailed Classification
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification
Liuyu Xiang
Guiguang Ding
Jungong Han
28
281
0
06 Jan 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep
  Learning
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning
Han-Jia Ye
Hong-You Chen
De-Chuan Zhan
Wei-Lun Chao
37
99
0
06 Jan 2020
AutoScale: Learning to Scale for Crowd Counting and Localization
AutoScale: Learning to Scale for Crowd Counting and Localization
Chenfeng Xu
Dingkang Liang
Yongchao Xu
S. Bai
Wei Zhan
X. Bai
Masayoshi Tomizuka
29
105
0
20 Dec 2019
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty
Serim Ryou
Seong-Gyun Jeong
Pietro Perona
19
43
0
24 Sep 2019
Imbalance Problems in Object Detection: A Review
Imbalance Problems in Object Detection: A Review
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
ObjD
30
458
0
31 Aug 2019
Transferability and Hardness of Supervised Classification Tasks
Transferability and Hardness of Supervised Classification Tasks
Anh Tran
Cuong V Nguyen
Tal Hassner
134
164
0
21 Aug 2019
An Empirical Evaluation Study on the Training of SDC Features for Dense
  Pixel Matching
An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching
René Schuster
Oliver Wasenmüller
C. Unger
D. Stricker
21
2
0
12 Apr 2019
Large-Scale Long-Tailed Recognition in an Open World
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
48
1,137
0
10 Apr 2019
Dynamic Curriculum Learning for Imbalanced Data Classification
Dynamic Curriculum Learning for Imbalanced Data Classification
Yiru Wang
Weihao Gan
Jie Yang
Wei Wu
Junjie Yan
25
217
0
21 Jan 2019
Class-Balanced Loss Based on Effective Number of Samples
Class-Balanced Loss Based on Effective Number of Samples
Huayu Chen
Menglin Jia
Nayeon Lee
Yang Song
Serge J. Belongie
82
2,233
0
16 Jan 2019
Single-Label Multi-Class Image Classification by Deep Logistic
  Regression
Single-Label Multi-Class Image Classification by Deep Logistic Regression
Qi Dong
Xiatian Zhu
S. Gong
31
33
0
20 Nov 2018
Salience Biased Loss for Object Detection in Aerial Images
Salience Biased Loss for Object Detection in Aerial Images
Peng Sun
Guang Chen
Luke M. Guerdan
Yi Shang
14
18
0
18 Oct 2018
Deep Imbalanced Learning for Face Recognition and Attribute Prediction
Deep Imbalanced Learning for Face Recognition and Attribute Prediction
Chen Huang
Yining Li
Chen Change Loy
Xiaoou Tang
CVBM
14
309
0
01 Jun 2018
Surveillance Face Recognition Challenge
Surveillance Face Recognition Challenge
Zhiyi Cheng
Xiatian Zhu
S. Gong
CVBM
AAML
27
68
0
25 Apr 2018
Learning to Reweight Examples for Robust Deep Learning
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren
Wenyuan Zeng
Binh Yang
R. Urtasun
OOD
NoLa
69
1,412
0
24 Mar 2018
1