Class-Imbalanced Learning

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11 papers in the last four weeks, level with the four weeks before. 0.1% of all new papers.

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DA-SegFormer: Damage-Aware Semantic Segmentation for Fine-Grained Disaster Assessment
May 11, 2026Kevin Zhu, William Tang, Raphael Hay Tene +3Class-Imbalanced Learning Image Segmentation
Bina Labs, Lehigh University
Hessian Surgery: Class-Targeted Post-Hoc Rebalancing via Hessian Spike Perturbation
May 8, 2026Hugo Vigna, Samuel BontempsClass-Imbalanced Learning Neural Network Optimization
CentraleSupélec – Université Paris-Saclay · ESILV – Léonard de Vinci
A Refined Generalization Analysis for Extreme Multi-class Supervised Contrastive Representation Learning
May 8, 2026Nong Minh Hieu, Antoine LedentClass-Imbalanced Learning Contrastive Learning
School of Computing and Information Systems, Singapore Management University.
Multimodal Emotion Recognition via Causal-Diffusion Bridge (Affect-Diff)
May 7, 2026Ankit SanjyalClass-Imbalanced Learning Multimodal Emotion Recognition
Department of Computer Science – Data Science Fordham University New York, USA
The Interplay of Data Structure and Imbalance in the Learning Dynamics of Diffusion Models
May 7, 2026Flavio Nicoletti, Chenxiao Ma, Enrico Ventura +2Class-Imbalanced Learning Score-Based Generative Modeling
Data Science and AI, Computer Science and Engineering Department, Chalmers University of Technology and University of Gothenburg · International School of Advanced Studies (SISSA), Trieste, Italy · Department of Computing Sciences, Bocconi University, Milano, Italy +2
Multimodal Deep Generative Model for Semi-Supervised Learning under Class Imbalance
May 7, 2026Heegeon Yoon, Heeyoung KimVariational Autoencoders Class-Imbalanced Learning
Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
Imbalanced Classification under Capacity Constraints
May 5, 2026Daniel Fraiman, Ricardo FraimanClass-Imbalanced Learning Binary Classification
Departamento de Matem´atica y Ciencias, Universidad de San Andr´es, Buenos Aires, Argentina · CONICET, Argentina. · PEDECIBA, Matem´atica, Uruguay.
Fuzzy Fingerprinting Encoder Pre-trained Language Models for Emotion Recognition in Conversations: Human Assessment and Validity Study
May 4, 2026Patrícia Pereira, Helena Moniz, Joao Paulo CarvalhoPrototype-Based Learning Class-Imbalanced Learning
Instituto Superior Técnico, Av. Rovisco Pais, 1, Lisbon, 1049-001, Portugal. · INESC-ID, Rua Alves Redol, 9, Lisbon, 1000-029, Portugal. · Faculdade de Letras da Universidade de Lisboa, Alameda da Universidade, Lisbon, 1600-214, Portugal.
Improving Imbalanced Multi-Label Chest X-Ray Diagnosis via CBAM-Enhanced CNN Backbones
May 4, 2026Duy Nguyen Huu, Duy Hoang Khuong, Ngu Huynh Cong VietClass-Imbalanced Learning Chest X-Ray Classification
Department of Artificial Intelligence FPT University Ho Chi Minh City, Vietnam · Department of Computing Fundamental FPT University Ho Chi Minh City, Vietnam
Momentum-Anchored Multi-Scale Fusion Model for Long-Tailed Chest X-Ray Classification
May 4, 2026Duy Hoang Khuong, Duy Nguyen Huu, Ngu Huynh Cong VietClass-Imbalanced Learning Long-Tailed Classification
Department of Artificial Intelligence FPT University Ho Chi Minh City, Vietnam · Department of Computing Fundamental FPT University Ho Chi Minh City, Vietnam
Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning
May 4, 2026Shihao Hou, Chikai Shang, Zhiheng Yang +5Class-Imbalanced Learning Fine-Tuning
Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, Xiamen, China · Department of Statistical Science, University College London, London, United Kingdom · School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China
Large margin classifier with graph-based adaptive regularization
May 3, 2026Vítor M. Hanriot, Turíbio T. Salis, Luiz C. B. Torres +2Class-Imbalanced Learning Binary Classification
Graduate Program in Electrical Engineering - Universidade Federal de Minas Gerais - Av. Antônio Carlos 6627, 31270-901, Belo Horizonte, MG, Brazil · Department of Computer and Systems - Universidade Federal de Ouro Preto - João Monlevade 35931-022, Brazil.
How Label Imbalance Shapes Geometry: A General Spectral Analysis of Multi-Label Neural Collapse
May 3, 2026Xiaoxuan Ma, Yixuan Yang, Song Li +1Class-Imbalanced Learning Multi-Label Classification
Department of Mathematics, Zhejiang University, Hangzhou, China.
Addressing Data Scarcity in Bangla Fake News Detection: An LLM-Based Dataset Augmentation Approach
May 2, 2026Ahmed Alfey Sani, Kazi Akib Zaoad, Shefayat E Shams Adib +2Class-Imbalanced Learning Synthetic Data Augmentation
Islamic University of Technology Gazipur, Bangladesh
DMDSC: A Dynamic-Margin Deep Simplex Classifier for Open-Set Recognition on Medical Image Datasets
May 1, 2026Vishal, Arnav Aditya, Nitin Kumar +1Class-Imbalanced Learning Open-Set Recognition
Shiv Nadar Institution of Eminence, Delhi NCR, India
Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation
Apr 29, 2026Martina Pavan, Matteo Caligiuri, Francesco Barbato +1Class-Imbalanced Learning Synthetic Data Augmentation
University of Padova, Padova (PD), Italy · NIDEK Technologies Srl, Albignasego (PD), Italy
Correcting Performance Estimation Bias in Imbalanced Classification with Minority Subconcepts
Apr 28, 2026Taylor Maxson, Roberto Corizzo, Yaning Wu +2Class-Imbalanced Learning
VAE-Inf: A statistically interpretable generative paradigm for imbalanced classification
Apr 28, 2026Hongfei Wu, Ruijian Han, Yancheng YuanVariational Autoencoders Class-Imbalanced Learning
Department of Data Science and Artificial Intelligence The Hong Kong Polytechnic University · Department of Applied Mathematics The Hong Kong Polytechnic University
Accurate and Robust Generative Approach for Overcoming Data Sparsity and Imbalance in Landslide Modeling with A Tabular Foundation Model
Apr 28, 2026Kaixuan Shao, Gang Mei, Yinghan Wu +2Class-Imbalanced Learning Synthetic Tabular Data Generation
School of Engineering and Technology, China University of Geosciences (Beijing), 100083, Beijing, China · School of Geological Engineering and Geomatics, Chang’an University, 710064, Xi’an, China
Instance Awareness of Multi-class Semantic Segmentation Loss Functions
Apr 27, 2026Soumya Snigdha Kundu, Florian Kofler, Marina Ivory +3Class-Imbalanced Learning Image Segmentation
1King’s College London · University of Tübingen · 3Technical University of Munich +1
H-SemiS: Hierarchical Fusion of Semi and Self-Supervised Learning for Knee Osteoarthritis Severity Grading
Apr 25, 2026Chandravardhan Singh Raghaw, Anushka Parwal, Shahid Shafi Dar +2Class-Imbalanced Learning Self-Supervised Learning
Department of Computer Science and Engineering, Indian Institute of Technology Indore, Indore 453552, India · Department of Computer Science and Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli 620015, India
Modulation Feature Enhancement with a Multi-Stage Attention Network for Underwater Acoustic Target Recognition
Apr 24, 2026Jiaping Yu, Shefeng Yan, Linlin Mao +2Class-Imbalanced Learning
Generating Synthetic Malware Samples Using Generative AI
Apr 23, 2026Tiffany Bao, Kylie Trousil, Quang Duy Tran +2Class-Imbalanced Learning Synthetic Data Augmentation
Department of Computer Science, Boston University, Boston, MA 02215, USA · Department of Computer Science, University of Wisconsin–La Crosse, La Crosse, WI 54601, USA · Department of Computer Science, San José State University, San Jose, CA 95192, USA +2
Improving Facial Emotion Recognition through Dataset Merging and Balanced Training Strategies
Apr 22, 2026Serap KırbızClass-Imbalanced Learning Facial Expression Recognition
aMEF University,Department of Electrical and Electronics Engineering, Huzur Mah. Maslak Ayaza˘ga Cad. No:4 Sarıyer, ˙Istanbul, 34396, Türkiye
RADS: Reinforcement Learning-Based Sample Selection Improves Transfer Learning in Low-resource and Imbalanced Clinical Settings
Apr 22, 2026Wei Han, David Martinez, Anna Khanina +2Class-Imbalanced Learning Few-Shot Learning
School of Computing Technologies, RMIT University · Department of Infectious Disease, Peter MacCallum Cancer Centre · 3National Centre for Infections in Cancer, Melbourne +2
Model-Agnostic Meta Learning for Class Imbalance Adaptation
Apr 20, 2026Hanshu Rao, Guangzeng Han, Xiaolei HuangClass-Imbalanced Learning Meta-Learning
University of Memphis
Self-Reinforcing Controllable Synthesis of Rare Relational Data via Bayesian Calibration
Apr 18, 2026Chongsheng Zhang, Hao Wang, Zelong Yu +7Class-Imbalanced Learning Synthetic Data Augmentation
Henan University, China · Department of Statistics, LMU Munich · MCML Munich +1
Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints
Jan 27, 2026Chao Yin, Qing Han, Zhiwei Hou +5Class-Imbalanced Learning 3D Point Cloud Segmentation
Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou, China · School of Geography and Tourism, Hengyang Normal University, Hengyang, China · Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China +3
Reasoning-Enhanced Rare-Event Prediction with Balanced Outcome Correction
Jan 23, 2026Vitaly Bulgakov, Alexander TurchinClass-Imbalanced Learning Rare-Event Estimation
Mass General Brigham, Boston, MA, USA · Profiteya LLC, Boston, MA, USA
Collaborative Optimization of Multiclass Imbalanced Learning: Density-Aware and Region-Guided Boosting
Dec 27, 2025Chuantao Li, Zhi Li, Jiahao Xu +2Class-Imbalanced Learning Ensemble Learning
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China · School of Mathematics and Computer, Guangdong Ocean University, Zhanjiang 524088, Guangdong, China

May 11, 2026, cs.CVJ/K move · Enter open · S save

DA-SegFormer: Damage-Aware Semantic Segmentation for Fine-Grained Disaster Assessment

Kevin Zhu, William Tang, Raphael Hay Tene, Zesheng Liu+2

Bina Labs, Lehigh University

Class-Imbalanced Learning Image Segmentation Remote Sensing Image Segmentation Disaster Damage Assessment Building Damage Assessment Disaster Response+1

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Rapid and accurate damage assessment following natural disasters is critical for effective emergency response. However, identifying fine-grained damage levels (e.g., distinguishing minor from major roof damage) in UAV imagery remains challenging due to the degradation of texture cues during resizing and extreme class imbalance. We propose DA-SegFormer, a damage-aware adaptation of the SegFormer architecture optimized for high-resolution disaster imagery. Our method introduces a Class-Aware Sampling strategy to guarantee exposure to rare damage features, and it integrates Online Hard Example Mining (OHEM) with Dice Loss to dynamically focus on underrepresented classes. In addition, we employ a resolution-preserving inference protocol that maintains native texture details. Evaluated on the RescueNet dataset, DA-SegFormer achieves 74.61% mIoU, outperforming the baseline by 2.55%. Notably, our improvements yield double-digit gains in critical damage classes: Minor Damage (+11.7%) and Major Damage (+21.3%).

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