Cross-Domain Generalization

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11 papers in the last four weeks, up 267% on the four weeks before. 0.1% of all new papers.

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Advancing All-Weather Building Damage Mapping to the Instance Level: Outcomes and Insights from the 2026 Bright Challenge
Jul 23, 2026Hongruixuan Chen, He Huang, Haifeng Wang +19Disaster Damage Assessment Building Damage Assessment
Cross-Domain Generalization in Optical Networks via Joint Contrastive and Classification Learning
Jul 22, 2026Ali Al Housseini, Carlos Natalino, Paolo Monti +1Contrastive Learning Cross-Domain Generalization
University of Applied Sciences and Arts of Southern Switzerland, Lugano, Switzerland · University of Southern Switzerland, Lugano, Switzerland · Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
Learning Engagement Assistant (LEA): Cross-Course Scalability and Classroom Evaluation of an Agentic AI Tutoring System
Jul 15, 2026Teri Rumble, Javad Zarrin, P. George Lovell +1Retrieval-Augmented Generation Intelligent Tutoring Systems
Faculty of Design, Informatics and Business, Abertay University, Dundee, United Kingdom.
ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing
Jul 6, 2026Wei Sun, Weixia Zhang, Linhan Cao +30Industrial Anomaly Detection Industrial Inspection
East China Normal University, Shanghai Jiao Tong University, Tsinghua Shenzhen International Graduate School, and Universit´e de Nantes.
Geographic Diversity Beats Data Volume for Cross-Domain Generalization in Zero-Label JEPA Driving World Models
Jul 5, 2026Santosh JaiswalAutonomous Driving Datasets Zero-Shot Learning
UnderOneFacade: Worldwide Facade Semantic Segmentation Benchmark Dataset
Jul 2, 2026Yi Wang, Fan Wang, Prabin Gyawali +93D Point Cloud Segmentation 3D Semantic Segmentation
Technical University of Munich, Munich, Germany · University of Nottingham, Nottingham, UK · CV4DT, University of Cambridge, Cambridge, UK +1
Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks
Jul 1, 2026MD Azizul Hakim, Md Shihab Uddin, Talha Ibne AnisIoT Intrusion Detection Network Intrusion Detection
Department of Computer Science and Technology, Bangladesh Sweden Polytechnic Institute Kaptai, Rangamati, Chittagong 4530, Bangladesh · Department of Electrical Engineering, Bangladesh Sweden Polytechnic Institute Kaptai, Rangamati, Chittagong 4530, Bangladesh
PRISM: Prioritized Channel Importance with Semi-supervised Domain Adaptation for Cross-Subject EEG Emotion Recognition
Jul 1, 2026Xin Zhou, Xiang Zhang, Hao Deng +1Cross-Subject EEG Decoding Unsupervised Domain Adaptation
School of Computing, T. J Watson College of Engineering and Applied Science, Binghamton University - State University of New York, Binghamton, NY 13902 USA · Massachusetts General Hospital, Harvard University, Boston, MA 02114 USA
Cross-Domain Feature Expansion for Tabular Medical Data via Knowledge Graphs Injection
Jun 30, 2026Mengying Zhou, Yongjie Yin, Haoyan Xin +2Incomplete Data Imputation Synthetic Tabular Data Generation
School of Computing and Artificial Intelligence, Shanghai University of Finance and Economics · College of Computer Science and Artificial Intelligence, Fudan University · Independent Researcher +1
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization
Jun 27, 2026Jamie Menjay Lin, Jisoo Jeong, Hong Cai +2Optical Flow Cross-Domain Generalization
1Qualcomm Technologies, Inc. · 2Qualcomm AI Research†
Assessing Distribution Shift in Human Activity Recognition for Domain Generalization
Jun 23, 2026Rebecca Adaimi, Edison ThomazDistribution Shift Robustness Human Activity Recognition
The University of Texas at Austin, USA
Hierarchical Spatial and Channel Aggregation for Cross-domain Few-shot Segmentation
Jun 23, 2026Sujun Sun, Mingwu Ren, Haofeng ZhangPrototype-Based Learning Cross-Domain Generalization
School of Computer Science and Engineering, Nanjing University of Science and Technology, China · State Key Laboratory of Intelligent Manufacturing of Advanced Construction Machinery, China
Exploring Dualistic Meta-Learning to Enhance Domain Generalization in Open Set Scenarios
Jun 22, 2026Xiran Wang, Jian Zhang, Lei Qi +2Meta-Learning Domain Generalization
State Key Laboratory for Novel Software Technology, Nanjing University, China · School of Computer Science and Engineering, Southeast University, China
Connect the Dots: Training LLMs for Long-Lifecycle Agents with Cross-Domain Generalization Via Reinforcement Learning
Jun 18, 2026Yanxi Chen, Weijie Shi, Boyi Hu +6Continual Learning for LLM Agents Cross-Domain Generalization
Alibaba Group · Hong Kong University of Science and Technology · The University of Hong Kong
FlowFake: Liquid Networks for Audio Deepfake Detection
Jun 17, 2026Shivaay Dhondiyal, Divyansh Sharma, Dinesh Kumar VishwakarmaAudio Deepfake Detection Cross-Domain Generalization
Delhi Technological University, New Delhi, India.
Forged Calamity: Benchmark for Cross-Domain Synthetic Disaster Detection in the Age of Diffusion
Jun 17, 2026Duc-Manh Phan, Quoc-Duy Tran, Duy-Khang Do +9Cross-Domain Generalization AI-Generated Image Detection
University of Science, VNU-HCM, Ho Chi Minh, Vietnam · Vietnam National University, Ho Chi Minh, Vietnam · University of Information technology, VNU-HCM, Ho Chi Minh, Vietnam +2
Half a Link can Be Enough to Predict a Whole Link: Understanding Generalization in Knowledge Graph Foundation Models
Jun 16, 2026Cosimo Gregucci, Obaidah Theeb, Daniel Hernandez +2Cross-Domain Generalization Graph Foundation Models
Institute for AI, University of Stuttgart · University of Edinburgh · University of Southampton
Multimodal LLM-Empowered Re-Ranking for Generalizable Person Re-Identification
Jun 15, 2026Jiachen Li, Xiaojin GongMultimodal Reranking Multimodal Large Language Models
College of Information Science and Electronic Engineering Zhejiang University
XPASS-Vis: A Dataset for Cross-Domain Personalized Image Aesthetic Assessment
Jun 14, 2026Takato Hayashi, Hiroaki Takahara, Candy Olivia Mawalim +4Personalized Image Aesthetics Assessment Cross-Domain Generalization
Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan · Communication Science Laboratories, NTT, Inc.,2026 Atsugi-shi 243-0198, Japan
Value-order Decomposition for Generalist Anomaly Detection
Jun 12, 2026Miaoyun Zhao, Jing Chen, Miaoni Zhao +1Industrial Anomaly Detection Representation Disentanglement
Dalian University of Technology · Key Laboratory of Social Computing and Cognitive Intelligence (Dalian University of Technology), Ministry of Education, Dalian, China · Xi’an Chang’an Vanke City Primary School
Small LLMs for Biomedical Claim Verification: Cost-Effective Fine-Tuning, Structural Dataset Shortcuts, and Cross-Domain Generalization
Jun 11, 2026Gaurav KumarClaim Verification LLM Fine-Tuning
Moveworks AI · University of California San Diego
A Zero-shot Generalized Graph Anomaly Detection Framework via Node Reconstruction
Jun 10, 2026Phan Nguyen, Dat Cao, Hien Chu +1Cross-Domain Generalization Reconstruction-Based Anomaly Detection
School of Computing, KAIST
RT-SDGOD: Real-Time Single-Domain Generalized Object Detection
Jun 8, 2026Yupeng Zhang, Fangzhuo Gao, Ruize Han +2Detection Transformer Cross-Domain Generalization
College of Intelligence and Computing, Tianjin University · Key Research Center for Surface Monitoring and Analysis of Relics, State Administration of Cultural Heritage · Faculty of Computer Science and Artificial Intelligence, Shenzhen University of Advanced Technology
X-Palm: Paired Multispectral-to-Smartphone Dataset for Cross-Domain Palmprint Authentication
Jun 7, 2026Jamal Seyedmohammadi, Pai Chet Ng, Angelo Genovese +3Biometric Identification Cross-Domain Generalization
Singapore Institute of Technology · Università degli Studi di Milano · University of Toronto
A Graph Foundation Model with Spectral Parsing and Prototype-Guided Spatial Propagation
Jun 2, 2026Ankang Yang, Jitao Zhao, Dongxiao He +3Graph Neural Networks Cross-Domain Generalization
School of Computer Science and Technology Tianjin University Tianjin, China · School of Artificial Intelligence Hebei University of Technology Tianjin, China · Department of Health Technology and Informatics Department of Data Science and Artificial Intelligence The Hong Kong Polytechnic University Kowloon, Hong Kong
RESCAST-100K: A Comprehensive Dataset for Cross-Domain Residential Load and Indoor Temperature Forecasting
Jun 1, 2026Jainam Dhruva, Yousaf Raza, A. B. Siddique +1Multivariate Time Series Forecasting Synthetic-to-Real Domain Adaptation
Department of Computer Science University of Kentucky Lexington, KY 40506
Evaluating Real-World Generalizability of Algorithm Selection Models
Jun 1, 2026Gjorgjina Cenikj, Jakub Kudela, Eva Tuba +1Algorithm Selection Cross-Domain Generalization
Computer Systems Department Jožef Stefan Institute Ljubljana, Slovenia · Brno University of Technology Brno, Czech Republic
UME: A Unified Meta-Generalization Framework for Cross-Domain ETA
May 31, 2026Duo Wang, Qiong Wu, Jianguo Wu +9Event Time Prediction Meta-Learning
Peking University · Meituan
Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding?
May 29, 2026Isabella Costa Maia, Pedro L. C. Rodrigues, Salem Said +1Cross-Subject EEG Decoding Stiefel Manifold Optimization
GIPSA-lab, University Grenoble Alpes, CNRS, Grenoble-INP · Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK · Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK
REED: Post-Training Representation Editing for Cross-Domain Linguistic Steganalysis
May 27, 2026Ruohan Lei, Jianxin Gao, Wanli Peng +1Cross-Domain Generalization Representation Engineering
China Agricultural University, Beijing, China · Jiangsu Normal University, Xuzhou, China

Jul 23, 2026, cs.CVJ/K move · Enter open · S save

Advancing All-Weather Building Damage Mapping to the Instance Level: Outcomes and Insights from the 2026 Bright Challenge

Hongruixuan Chen, He Huang, Haifeng Wang, Jian Song+18

Disaster Damage Assessment Building Damage Assessment Instance Segmentation Cross-Domain Generalization Remote Sensing Benchmarks Multimodal Fusion

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Rapid post-disaster response requires timely, building-level information on whether structures remain intact, are damaged, or are destroyed. Post-event optical imagery, however, may be unavailable because of cloud, smoke, or darkness. The Bright Challenge evaluated all-weather building damage mapping from a submeter-resolution pre-event optical image and a post-event SAR image. Participants were required to detect and delineate each building and assign exactly one of three mutually exclusive damage labels. The challenge extended the globally distributed \textsc{Bright} dataset with instance-level annotations for about 291,000 buildings across 16 disaster events spanning seven disaster types. The final phase was evaluated exclusively on two 2025 events absent from training: a wildfire event in California and a hurricane in Jamaica. A total of 157 participants made 1,289 submissions, and 46 teams entered the final phase. The two winning solutions achieved test mAPs of 0.182 and 0.181, approximately 8.7 times the public baseline of 0.021, but remained far below the best in-domain holdout score of 0.513. Across teams ranked in both phases, performance declined sharply and the rank order changed substantially. The two leading solutions independently favored modality-specific encoding, staged or late optical--SAR fusion, and an optical-dominant separation of building localization from damage recognition. The winning method additionally used scene-aware threshold adjustment and pseudo-label adaptation. These results identify cross-event generalization and stable severity discrimination as the principal remaining challenges. All data, annotations, baseline code, and winning solutions are publicly available at https://github.com/ChenHongruixuan/BRIGHT.

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