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Class-Balanced Loss Based on Effective Number of Samples

Class-Balanced Loss Based on Effective Number of Samples

16 January 2019
Yin Cui
Menglin Jia
Tsung-Yi Lin
Yang Song
Serge J. Belongie
ArXivPDFHTML

Papers citing "Class-Balanced Loss Based on Effective Number of Samples"

50 / 326 papers shown
Title
Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification
Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification
Xiaoshuo Yan
Z. Li
Lei Meng
Zhuang Qi
Wei Wu
Zixuan Li
X. Meng
CML
BDL
40
0
0
13 May 2025
Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers
Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers
Chi Xu
Yili Jin
Sami Ma
Rongsheng Qian
Hao Fang
...
Xue Liu
Edith Ngai
William I. Atlas
Katrina M. Connors
Mark A. Spoljaric
31
0
0
10 May 2025
Towards Application-Specific Evaluation of Vision Models: Case Studies in Ecology and Biology
Towards Application-Specific Evaluation of Vision Models: Case Studies in Ecology and Biology
A. H. H. Chan
Otto Brookes
Urs Waldmann
Hemal Naik
I. Couzin
...
Lukas Boesch
M. Arandjelovic
H. Kühl
T. Burghardt
Fumihiro Kano
131
0
0
05 May 2025
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
Sicong Li
Qianqian Xu
Zhiyong Yang
Zitai Wang
L. Zhang
Xiaochun Cao
Q. Huang
67
0
0
03 May 2025
Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI
Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI
Hugo Georgenthum
Cristian Cosentino
Fabrizio Marozzo
Pietro Liò
MedIm
138
0
0
28 Apr 2025
AD-Det: Boosting Object Detection in UAV Images with Focused Small Objects and Balanced Tail Classes
AD-Det: Boosting Object Detection in UAV Images with Focused Small Objects and Balanced Tail Classes
Zhenteng Li
Sheng Lian
Dengfeng Pan
Y. Wang
Wei Liu
56
0
0
08 Apr 2025
Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation
Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation
Zhanzhong Pang
Fadime Sener
Shrinivas Ramasubramanian
Angela Yao
56
1
0
24 Mar 2025
A Causal Adjustment Module for Debiasing Scene Graph Generation
A Causal Adjustment Module for Debiasing Scene Graph Generation
Li Liu
Shuzhou Sun
Shuaifeng Zhi
Fan Shi
Zhen Liu
J. Heikkilä
Yongxiang Liu
CML
57
2
0
22 Mar 2025
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation
Sayak Nag
Udita Ghosh
Sarosij Bose
Calvin-Khang Ta
Jiachen Li
A. Roy-Chowdhury
66
0
0
18 Mar 2025
Long-tailed Adversarial Training with Self-Distillation
Seungju Cho
Hongsin Lee
Changick Kim
AAML
TTA
168
0
0
09 Mar 2025
Subgraph Federated Learning for Local Generalization
Sungwon Kim
Yoonho Lee
Yunhak Oh
Namkyeong Lee
Sukwon Yun
Junseok Lee
Sein Kim
Carl Yang
Chanyoung Park
FedML
OOD
84
1
0
06 Mar 2025
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data
Wentai Wu
Ligang He
Saiqin Long
Ahmed M. Abdelmoniem
Yingliang Wu
Rui Mao
57
0
0
05 Mar 2025
Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition
Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition
Hongda Liu
Yunlong Wang
Min Ren
Junxing Hu
Zhengquan Luo
Guangqi Hou
Zhe Sun
48
0
0
24 Feb 2025
FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups
Géraldin Nanfack
Eugene Belilovsky
59
0
0
10 Feb 2025
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
Krishna Sri Ipsit Mantri
Carola-Bibiane Schönlieb
Bruno Ribeiro
Chaim Baskin
Moshe Eliasof
41
0
0
09 Feb 2025
Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier Calibration
Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier Calibration
Li Pan
Yupei Zhang
Qiushi Yang
Tan Li
Zhen Chen
49
0
0
05 Feb 2025
MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction
MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction
Xuyin Qi
Zeyu Zhang
Huazhan Zheng
Mingxi Chen
Numan Kutaiba
...
Hongtao Mao
Y. Li
Zhibin Liao
Yang Zhao
Minh Nguyen Nhat To
MedIm
46
7
0
02 Feb 2025
Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise
Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise
Rose E. Wang
Ana T. Ribeiro
Carly Robinson
Susanna Loeb
Dora Demszky
60
12
0
28 Jan 2025
Rethinking the Bias of Foundation Model under Long-tailed Distribution
Rethinking the Bias of Foundation Model under Long-tailed Distribution
Jiahao Chen
Bin Qin
Jiangmeng Li
Hao Chen
Bing-Huang Su
82
0
0
27 Jan 2025
Making Reliable and Flexible Decisions in Long-tailed Classification
Making Reliable and Flexible Decisions in Long-tailed Classification
Bolian Li
Ruqi Zhang
146
0
0
23 Jan 2025
Refining Skewed Perceptions in Vision-Language Models through Visual Representations
Refining Skewed Perceptions in Vision-Language Models through Visual Representations
Haocheng Dai
Sarang Joshi
VLM
74
0
0
03 Jan 2025
The Silent Majority: Demystifying Memorization Effect in the Presence of Spurious Correlations
The Silent Majority: Demystifying Memorization Effect in the Presence of Spurious Correlations
Chenyu You
Haocheng Dai
Yifei Min
Jasjeet Sekhon
S. Joshi
James S. Duncan
60
2
0
01 Jan 2025
Partial Knowledge Distillation for Alleviating the Inherent Inter-Class Discrepancy in Federated Learning
Partial Knowledge Distillation for Alleviating the Inherent Inter-Class Discrepancy in Federated Learning
Xiaoyu Gan
Xizi Chen
Jingyang Zhu
Xiaomeng Wang
Jingbo Jiang
Chi-Ying Tsui
FedML
95
0
0
23 Nov 2024
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation
Rohith Peddi
Saurabh
Ayush Abhay Shrivastava
Parag Singla
Vibhav Gogate
76
0
0
20 Nov 2024
Fractal Calibration for long-tailed object detection
Fractal Calibration for long-tailed object detection
Konstantinos Panagiotis Alexandridis
Ismail Elezi
Jiankang Deng
Anh H. Nguyen
Shan Luo
114
0
0
15 Oct 2024
Distributionally robust self-supervised learning for tabular data
Distributionally robust self-supervised learning for tabular data
Shantanu Ghosh
Tiankang Xie
Mikhail Kuznetsov
OOD
19
1
0
11 Oct 2024
Continual Learning: Less Forgetting, More OOD Generalization via
  Adaptive Contrastive Replay
Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay
Hossein Rezaei
Mohammad Sabokrou
CLL
23
0
0
09 Oct 2024
MONICA: Benchmarking on Long-tailed Medical Image Classification
MONICA: Benchmarking on Long-tailed Medical Image Classification
Lie Ju
Siyuan Yan
Yukun Zhou
Yang Nan
Xiaodan Xing
Peibo Duan
Zongyuan Ge
57
0
0
02 Oct 2024
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
Naoya Hasegawa
Issei Sato
36
0
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
31
1
0
23 Sep 2024
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
Eric Li
Yifan Zhang
Yu Huang
Kevin Leach
26
0
0
20 Sep 2024
End-to-end Open-vocabulary Video Visual Relationship Detection using Multi-modal Prompting
End-to-end Open-vocabulary Video Visual Relationship Detection using Multi-modal Prompting
Yongqi Wang
Xinxiao Wu
Shuo Yang
Jiebo Luo
123
1
0
19 Sep 2024
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
Zhi-Hong Qi
Da-Wei Zhou
Yiran Yao
Han-Jia Ye
De-Chuan Zhan
CLL
42
5
0
11 Sep 2024
Joint Input and Output Coordination for Class-Incremental Learning
Joint Input and Output Coordination for Class-Incremental Learning
Shuai Wang
Yibing Zhan
Yong Luo
Han Hu
Wei Yu
Yonggang Wen
Dacheng Tao
CLL
35
2
0
09 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
46
0
0
09 Sep 2024
LoGex: Improved tail detection of extremely rare histopathology classes
  via guided diffusion
LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion
Maximilian Mueller
Matthias Hein
MedIm
40
0
0
02 Sep 2024
Distilling Long-tailed Datasets
Distilling Long-tailed Datasets
Zhenghao Zhao
Haoxuan Wang
Yuzhang Shang
Kai Wang
Yan Yan
DD
48
2
0
24 Aug 2024
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images
Kazi Sajeed Mehrab
M. Maruf
Arka Daw
Harish Babu Manogaran
Abhilash Neog
...
Paula Mabee
Wasila Dahdul
Anuj Karpatne
Wasila M Dahdul
Anuj Karpatne
33
4
0
10 Jul 2024
Read, Watch and Scream! Sound Generation from Text and Video
Read, Watch and Scream! Sound Generation from Text and Video
Yujin Jeong
Yunji Kim
Sanghyuk Chun
Jiyoung Lee
VGen
DiffM
29
11
0
08 Jul 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
20
1
0
06 Jul 2024
Personalized federated learning based on feature fusion
Personalized federated learning based on feature fusion
Wolong Xing
Zhenkui Shi
Hongyan Peng
Xiantao Hu
Xianxian Li
FedML
31
0
0
24 Jun 2024
Spatiotemporal Graph Neural Network Modelling Perfusion MRI
Spatiotemporal Graph Neural Network Modelling Perfusion MRI
Ruodan Yan
Carola-Bibiane Schönlieb
Chao Li
37
1
0
10 Jun 2024
Frequency-based Matcher for Long-tailed Semantic Segmentation
Frequency-based Matcher for Long-tailed Semantic Segmentation
Shan Li
Lu Yang
Pu Cao
Liulei Li
Huadong Ma
43
1
0
06 Jun 2024
Towards Real-world Scenario: Imbalanced New Intent Discovery
Towards Real-world Scenario: Imbalanced New Intent Discovery
Shun Zhang
Chaoran Yan
Jian Yang
J. H. Liu
Ying Mo
Jiaqi Bai
Tongliang Li
Z. Li
29
2
0
05 Jun 2024
SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition
SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition
Sanglee Park
Seung-won Hwang
Jungmin So
41
0
0
04 Jun 2024
Overcoming Catastrophic Forgetting by Exemplar Selection in
  Task-oriented Dialogue System
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System
Chen Chen
Ruizhe Li
Yuchen Hu
Yuanyuan Chen
Chengwei Qin
Qiang Zhang
CLL
41
1
0
16 May 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
34
5
0
24 Apr 2024
TrACT: A Training Dynamics Aware Contrastive Learning Framework for
  Long-tail Trajectory Prediction
TrACT: A Training Dynamics Aware Contrastive Learning Framework for Long-tail Trajectory Prediction
Junrui Zhang
Mozhgan Pourkeshavarz
Amir Rasouli
44
3
0
18 Apr 2024
FedDistill: Global Model Distillation for Local Model De-Biasing in
  Non-IID Federated Learning
FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning
Changlin Song
Divya Saxena
Jiannong Cao
Yuqing Zhao
FedML
34
3
0
14 Apr 2024
AnchorAL: Computationally Efficient Active Learning for Large and
  Imbalanced Datasets
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets
Pietro Lesci
Andreas Vlachos
31
2
0
08 Apr 2024
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