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Striking the Right Balance with Uncertainty
v1v2v3 (latest)

Striking the Right Balance with Uncertainty

22 January 2019
Salman Khan
Munawar Hayat
Waqas Zamir
Jianbing Shen
Ling Shao
ArXiv (abs)PDFHTML

Papers citing "Striking the Right Balance with Uncertainty"

50 / 101 papers shown
Error correction in multiclass image classification of facial emotion on unbalanced samples
Error correction in multiclass image classification of facial emotion on unbalanced samples
Andrey A. Lebedev
Victor B. Kazantsev
Sergey V. Stasenko
CVBM
264
0
0
02 Oct 2025
CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation
CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation
Vishal Thengane
Jean Lahoud
Hisham Cholakkal
Rao Muhammad Anwer
L. Yin
Xiatian Zhu
Salman Khan
CLL
1.2K
1
0
24 Feb 2025
ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty
  Learning
ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty Learning
Song Wang
Zhongdao Wang
Jiawei Yu
Wentong Li
Bailan Feng
Junbo Chen
Jianke Zhu
UQCV
326
7
0
26 Sep 2024
VLMine: Long-Tail Data Mining with Vision Language Models
VLMine: Long-Tail Data Mining with Vision Language Models
Mao Ye
Gregory P. Meyer
Zaiwei Zhang
Dennis Park
Siva Karthik Mustikovela
Yuning Chai
Eric M. Wolff
VLM
306
6
0
23 Sep 2024
When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study
When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study
Tomoyuki Obuchi
Toshiyuki Tanaka
439
2
0
09 Sep 2024
Covariance-corrected Whitening Alleviates Network Degeneration on
  Imbalanced Classification
Covariance-corrected Whitening Alleviates Network Degeneration on Imbalanced Classification
Zhiwei Zhang
227
1
0
30 Aug 2024
Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance
  for Robust Chest X-Ray Disease Classification
Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance for Robust Chest X-Ray Disease Classification
S. SreeRamaVamsidhar
Bhargava Satya
Rama Krishna Sai Subrahmanyam Gorthi
263
1
0
06 Jul 2024
Improving Multi-label Recognition using Class Co-Occurrence
  Probabilities
Improving Multi-label Recognition using Class Co-Occurrence Probabilities
Samyak Rawlekar
Shubhang Bhatnagar
Vishnuvardhan Pogunulu Srinivasulu
Narendra Ahuja
VLM
353
6
0
24 Apr 2024
Modeling Weather Uncertainty for Multi-weather Co-Presence Estimation
Modeling Weather Uncertainty for Multi-weather Co-Presence Estimation
Qi Bi
Shaodi You
Theo Gevers
278
1
0
29 Mar 2024
Hyperspherical Classification with Dynamic Label-to-Prototype Assignment
Hyperspherical Classification with Dynamic Label-to-Prototype Assignment
Mohammad Saeed Ebrahimi Saadabadi
Ali Dabouei
Sahar Rahimi Malakshan
Nasser M. Nasrabadi
285
6
0
25 Mar 2024
Accurately Predicting Probabilities of Safety-Critical Rare Events for
  Intelligent Systems
Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems
Ruoxuan Bai
Jingxuan Yang
Weiduo Gong
Yi Zhang
Qiujing Lu
Shuo Feng
417
5
0
20 Mar 2024
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting
Zhuliang Yu
Guohao Chen
Jiaxiang Wu
Yifan Zhang
Yaofo Chen
Peilin Zhao
Shuaicheng Niu
TTAOOD
391
13
0
18 Mar 2024
Revisiting the Dataset Bias Problem from a Statistical Perspective
Revisiting the Dataset Bias Problem from a Statistical PerspectiveEuropean Conference on Artificial Intelligence (ECAI), 2024
Kien Do
D. Nguyen
Hung Le
T. Le
Dang Nguyen
Haripriya Harikumar
T. Tran
Santu Rana
Svetha Venkatesh
230
0
0
05 Feb 2024
DAFA: Distance-Aware Fair Adversarial Training
DAFA: Distance-Aware Fair Adversarial TrainingInternational Conference on Learning Representations (ICLR), 2024
Hyungyu Lee
Saehyung Lee
Hyemi Jang
Junsung Park
Ho Bae
Sungroh Yoon
272
12
0
23 Jan 2024
Class Uncertainty: A Measure to Mitigate Class Imbalance
Class Uncertainty: A Measure to Mitigate Class Imbalance
Z. S. Baltaci
K. Oksuz
S. Kuzucu
K. Tezoren
B. K. Konar
A. Ozkan
Emre Akbas
Sinan Kalkan
553
6
0
23 Nov 2023
Uncertainty-guided Boundary Learning for Imbalanced Social Event
  Detection
Uncertainty-guided Boundary Learning for Imbalanced Social Event DetectionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Jiaqian Ren
Hao Peng
Lei Jiang
Zhiwei Liu
Jia Wu
Zhengtao Yu
Phillp S. Yu
339
25
0
30 Oct 2023
Survey of Social Bias in Vision-Language Models
Survey of Social Bias in Vision-Language Models
Nayeon Lee
Yejin Bang
Holy Lovenia
Samuel Cahyawijaya
Wenliang Dai
Pascale Fung
VLM
437
34
0
24 Sep 2023
Bayesian uncertainty-weighted loss for improved generalisability on
  polyp segmentation task
Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task
Rebecca S Stone
P. E. Chavarrias-Solano
A. Bulpitt
David C. Hogg
Sharib Ali
UQCV
280
0
0
13 Sep 2023
Dual Compensation Residual Networks for Class Imbalanced Learning
Dual Compensation Residual Networks for Class Imbalanced LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
361
9
0
25 Aug 2023
Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body
  Reconstruction
Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body ReconstructionIEEE International Conference on Computer Vision (ICCV), 2023
Yufei Zhang
Hanjing Wang
Jeffrey O. Kephart
Q. Ji
3DH
294
9
0
01 Aug 2023
Alleviating the Effect of Data Imbalance on Adversarial Training
Alleviating the Effect of Data Imbalance on Adversarial Training
Guanlin Li
Guowen Xu
Tianwei Zhang
318
4
0
14 Jul 2023
On Sensitivity and Robustness of Normalization Schemes to Input
  Distribution Shifts in Automatic MR Image Diagnosis
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image DiagnosisInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023
Divyam Madaan
D. Sodickson
K. Cho
S. Chopra
OODMedIm
339
1
0
23 Jun 2023
On The Relationship Between Continual Learning and Long-Tailed Recognition
On The Relationship Between Continual Learning and Long-Tailed Recognition
Mahdiyar Molahasani
Michael A. Greenspan
Ali Etemad
185
2
0
23 Jun 2023
Fill-Up: Balancing Long-Tailed Data with Generative Models
Fill-Up: Balancing Long-Tailed Data with Generative Models
Joonghyuk Shin
Minguk Kang
Jaesik Park
327
41
0
12 Jun 2023
CDLT: A Dataset with Concept Drift and Long-Tailed Distribution for
  Fine-Grained Visual Categorization
CDLT: A Dataset with Concept Drift and Long-Tailed Distribution for Fine-Grained Visual Categorization
Shuo Ye
Yufeng Shi
Ruxin Wang
Yu Wang
Jiamiao Xu
Chuanwu Yang
Xinge You
122
3
0
04 Jun 2023
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network
Rebecca S Stone
Nishant Ravikumar
A. Bulpitt
David C. Hogg
BDL
343
0
0
29 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised
  Learning
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised LearningInternational Conference on Learning Representations (ICLR), 2023
Xiaohua Xie
Yin Li
Yong Jae Lee
225
19
0
13 Mar 2023
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition
Xiu-Shen Wei
Xuhao Sun
Yang Shen
Anqi Xu
Peng Wang
Faen Zhang
290
4
0
07 Feb 2023
Adaptive Siamese Tracking with a Compact Latent Network
Adaptive Siamese Tracking with a Compact Latent NetworkIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Xingping Dong
Jianbing Shen
Fatih Porikli
Jiebo Luo
Ling Shao
272
44
0
02 Feb 2023
Towards Long-Tailed 3D Detection
Towards Long-Tailed 3D DetectionConference on Robot Learning (CoRL), 2022
Neehar Peri
Achal Dave
Deva Ramanan
Shu Kong
3DPC
249
41
0
16 Nov 2022
Confidence-Calibrated Face and Kinship Verification
Confidence-Calibrated Face and Kinship VerificationIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Min Xu
Ximiao Zhang
Xiuzhuang Zhou
CVBM
486
7
0
25 Oct 2022
Reliability-Aware Prediction via Uncertainty Learning for Person Image
  Retrieval
Reliability-Aware Prediction via Uncertainty Learning for Person Image RetrievalEuropean Conference on Computer Vision (ECCV), 2022
Zhaopeng Dou
Zhongdao Wang
Weihua Chen
Yali Li
Shengjin Wang
220
21
0
24 Oct 2022
Importance Tempering: Group Robustness for Overparameterized Models
Importance Tempering: Group Robustness for Overparameterized Models
Yiping Lu
Wenlong Ji
Zachary Izzo
Lexing Ying
345
7
0
19 Sep 2022
Less is More: Rethinking State-of-the-art Continual Relation Extraction
  Models with a Frustratingly Easy but Effective Approach
Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach
Peiyi Wang
Yifan Song
Tianyu Liu
Rundong Gao
Binghuai Lin
Yunbo Cao
Zhifang Sui
166
10
0
01 Sep 2022
Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed
  Recognition
Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed RecognitionPattern Recognition (Pattern Recogn.), 2022
Enhao Zhang
Chuanxing Geng
Songcan Chen
477
7
0
26 Jul 2022
DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation
  for Long-Tailed Visual Recognition
DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation for Long-Tailed Visual RecognitionPattern Recognition (Pattern Recogn.), 2022
J. Baik
In Young Yoon
J. Choi
276
17
0
05 Jul 2022
Learning Imbalanced Datasets with Maximum Margin Loss
Learning Imbalanced Datasets with Maximum Margin LossInternational Conference on Information Photonics (ICIP), 2021
Haeyong Kang
Thang Vu
Chang D. Yoo
266
22
0
11 Jun 2022
FIFA: Making Fairness More Generalizable in Classifiers Trained on
  Imbalanced Data
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced DataInternational Conference on Learning Representations (ICLR), 2022
Zhun Deng
Jiayao Zhang
Linjun Zhang
Ting Ye
Yates Coley
Weijie J. Su
James Zou
311
17
0
06 Jun 2022
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation
Rebecca S Stone
Nishant Ravikumar
A. Bulpitt
David C. Hogg
289
15
0
20 Apr 2022
Probabilistic Representations for Video Contrastive Learning
Probabilistic Representations for Video Contrastive LearningComputer Vision and Pattern Recognition (CVPR), 2022
Jungin Park
Jiyoung Lee
Ig-Jae Kim
Kwanghoon Sohn
SSL
403
54
0
08 Apr 2022
Analyzing the Effects of Handling Data Imbalance on Learned Features
  from Medical Images by Looking Into the Models
Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models
Ashkan Khakzar
Yawei Li
Yang Zhang
Mirac Sanisoglu
Seong Tae Kim
Mina Rezaei
B. Bischl
Nassir Navab
264
0
0
04 Apr 2022
Logit Normalization for Long-tail Object Detection
Logit Normalization for Long-tail Object DetectionInternational Journal of Computer Vision (IJCV), 2022
Liang Zhao
Yao Teng
Limin Wang
277
20
0
31 Mar 2022
Long-Tailed Recognition via Weight Balancing
Long-Tailed Recognition via Weight BalancingComputer Vision and Pattern Recognition (CVPR), 2022
Shaden Alshammari
Yu-Xiong Wang
Deva Ramanan
Shu Kong
MQ
325
191
0
27 Mar 2022
Hierarchical Memory Learning for Fine-Grained Scene Graph Generation
Hierarchical Memory Learning for Fine-Grained Scene Graph GenerationEuropean Conference on Computer Vision (ECCV), 2022
Youming Deng
Yansheng Li
Yongjun Zhang
Xiang Xiang
Jian Wang
Jingdong Chen
Jiayi Ma
405
26
0
14 Mar 2022
Risk-Aware Scene Sampling for Dynamic Assurance of Autonomous Systems
Risk-Aware Scene Sampling for Dynamic Assurance of Autonomous SystemsInternational Conference on Applied Algorithms (ICAA), 2022
Shreyas Ramakrishna
Baiting Luo
Yogesh D. Barve
G. Karsai
A. Dubey
353
10
0
28 Feb 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data
AutoBalance: Optimized Loss Functions for Imbalanced DataNeural Information Processing Systems (NeurIPS), 2022
Mingchen Li
Xuechen Zhang
Christos Thrampoulidis
Jiasi Chen
Samet Oymak
228
84
0
04 Jan 2022
Distribution-aware Margin Calibration for Semantic Segmentation in
  Images
Distribution-aware Margin Calibration for Semantic Segmentation in ImagesInternational Journal of Computer Vision (IJCV), 2021
Litao Yu
Zhibin Li
Min Xu
Yongsheng Gao
Jiebo Luo
Jian Zhang
219
20
0
21 Dec 2021
Self-Paced Deep Regression Forests with Consideration of Ranking
  Fairness
Self-Paced Deep Regression Forests with Consideration of Ranking Fairness
Lili Pan
Mingming Meng
Yazhou Ren
Yali Zheng
Zenglin Xu
442
1
0
13 Dec 2021
You Only Need End-to-End Training for Long-Tailed Recognition
Zhiwei Zhang
571
2
0
11 Dec 2021
Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth
  Uncertainty Learning
Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty Learning
Hangtong Wu
Dan Zeng
Yibo Hu
Hailin Shi
Tao Mei
CVBM
225
45
0
01 Dec 2021
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