Cross-Dataset Generalization

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Domain Shift in Echocardiography: Interpretable Quantification and Prediction of Cross-Dataset Left Ventricular Segmentation
Jul 22, 2026Soroush Elyasi, Nasim Dadashi Serej, Julie Wall +1Ultrasound Image Segmentation Distribution Shift
THRIVE Centre, School of Computing and Engineering, University of West London, London, UK · School of Computing and Engineering, University of West London, London, UK
Cross-Dataset Generalization in Breast MRI Tumor Classification via Class-Wise Dataset Mixing
Jul 21, 2026Mohammad Ali Dadrast, Hamid UsefiAlgorithmic Bias Medical Image Classification
Data Science Program Memorial University of Newfoundland St. John’s, Canada · Department of Mathematics and Statistics Memorial University of Newfoundland St. John’s, Canada
SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark
Jul 20, 2026Sania Bano, Shahzad Ahmad, Santosh Kumar Vipparthi +2Emotion Recognition in Conversations Multimodal Emotion Recognition
CVPR Lab, Indian Institute of Technology Ropar, India · Østfold University College, Norway · CVPR Lab, SCSS, Trinity College Dublin, Ireland
CardioMeta: Calibrated Multi-Task Prediction of Diabetes, Hypertension, and Cardiovascular Disease Across Population and EHR Data
Jul 17, 2026S M Asif Hossain, Ruksat Khan Shayoni, M. F. Mridha +1Multi-Task Learning Model Calibration
School of Computing, Wichita State University, Kansas, USA · Department of Computer Science and Engineering, American International University-Bangladesh, Bangladesh · School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan
RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization
Jul 12, 2026Yan Lin, Ziheng Wang, Shuang Chen +2Distribution Shift Robustness Medical Image Classification
Newcastle University Newcastle upon Tyne, UK · King Abdullah University of Science and Technology (KAUST) Thuwal, Saudi Arabia · Durham University Durham, UK
Annotation-Free Furniture Codes: What They Encode, and How Far They Transfer
Jul 11, 2026Benjamin FriedmanPoint Cloud Learning 3D Representation Learning
DLR Group
Unsupervised Domain Adaptation for Calcification Classification in Mammography Across Multi-Site Datasets
Jul 7, 2026Xuan Liu, Derek L. Nguyen, Emily C. Barre +7Unsupervised Domain Adaptation Mammography
Department of Electrical and Computer Engineering and the Department of Radiology, Duke University, Durham, NC, USA · Department of Radiology, Duke University, Durham, NC, USA · Duke University School of Medicine, Durham, NC, USA +3
SleepBand: Single-Source Domain Generalization for Sleep Staging via Physiologically Structured Spectral Modeling
Jul 6, 2026Zhi Lu, Yang Hu, Yan ChenSleep Stage Classification EEG Decoding
Laboratory of Intelligent Collaborative Computing, University of Electronic Science and Technology of China, Chengdu 611731, China · School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China · School of Cyber Science and Technology, University of Science and Technology of China, Hefei 230026, China
The Good, the Bad, and the Brittle: Benchmarking Robustness and Generalisation of Histopathology Foundation Models
Jul 5, 2026Dhyey Yajnik, Amina Asif, Fayyaz MinhasDistribution Shift Robustness Neural Network Robustness
Predictive Systems in Biomedicine Lab, Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, United Kingdom
Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition
Jul 5, 2026Huqin Weng, Jiayang Huang, Yimin Wen +3Contrastive Learning Self-Supervised Learning
SHIFT: Survival Prediction from Incomplete and Heterogeneous Genomic Data
Jul 4, 2026Muhammet Sami Yavuz, Ayhan Can Erdur, Sabri Mustafa Kahya +2Cancer Genomics Cancer Survival Prediction
AI for Image-Guided Diagnosis and Therapy, School of Medicine and Health, Technical University of Munich (TUM), Munich, Germany · Munich Center for Machine Learning (MCML) · Department of Radiation Oncology, TUM University Hospital +4
Unveiling Transferability in Trajectory Prediction via Latent Scene Embeddings
Jun 29, 2026Theodor Westny, David Axelsson, Björn Olofsson +1Representational Similarity Analysis Multi-Agent Trajectory Prediction
Division of Vehicular Systems, Linköping University, Linköping, Sweden · Department of Automatic Control, Lund University, Lund, Sweden
CAN We Trust Your Results? A Cross-Dataset Study of Automotive IDS Evaluation
Jun 29, 2026Beatrix Koltai, Gergely Acs, Andras GazdagBenchmark Design Network Intrusion Detection
Laboratory of Cryptography and System Security (CrySyS Lab), Budapest University of Technology and Economics, Hungary · HUN-REN-BME Information Systems Research Group, Hungary
Beyond IID: How General Are Tabular Foundation Models, Really?
Jun 29, 2026Lennart Purucker, Andrej Tschalzev, Nick Erickson +7Tabular Foundation Models OOD Generalization
1Prior Labs · University of Mannheim · 4INRIA Saclay +5
Underwater Source Detection and Classification for Signal-based Surveillance: Audio Dataset Curation and Cross-Domain Evaluation
Jun 27, 2026Quoc Thinh Vo, David K. HanTraining Data Curation Audio Classification
Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA, USA
Do Diabetic Foot Ulcer Segmentation Models Generalize? A Cross-Dataset Benchmark of CNN and Transformer Architectures
Jun 27, 2026Abderrahmane BenfatahMedical Diagnosis Medical Image Segmentation
King Saud University, Riyadh, Saudi Arabia
SAGE: An Expert-Annotated South Asian GI Endoscopy Dataset for Multimodal Learning and Hallucination Analysis
Jun 20, 2026Niyoj Oli, Sachin Acharya, Sandesh Pokhrel +7Endoscopy Medical Imaging
Nepal Applied Mathematics and Informatics Institute for Research, Nepal · University of Utah, USA · GastroIntestinal Department, Dhulikhel Hospital, Nepal +3
Zero-Shot Vision-Language Models for Classroom Engagement Recognition: A Benchmark Study of Prompt Sensitivity and Cross-Dataset Generalization
Jun 20, 2026Aman Goyal, Kshama Nitin Shah, Kemmannu Vineet Venkatesh RaoVLM Evaluation Zero-Shot Learning
Carnegie Mellon University · University of Michigan, Ann Arbor · Magna International
When AUC Misleads: Polarization-Aware Evaluation of Deepfake Detectors under Domain Shift
Jun 17, 2026Dat Nguyen, Cosmin Radoi, Romain Hermary +4Distribution Shift Deepfake Detection
CVI2, SnT, University of Luxembourg · Cristal Laboratory, National School of Computer Sciences, University of Manouba
A Large Scale Open-Source Image and Video Dataset for Robust Wildfire Detection and Classification
Jun 8, 2026Emadeldeen Hamdan, Yingyi Luo, B. Ugur Toreyin +4Wildfire Detection Cross-Dataset Generalization
Department of Electrical and Computer Engineering, University of Illinois Chicago, Chicago, IL, USA · Informatics Institute, Istanbul Technical University, ˙Istanbul, Türkiye · USDA Forest Service Pacific Wildland Fire Sciences Laboratory, Washington, USA +1
Towards Graph Foundation Models for Dynamics in Complex Networked Systems: Lessons from Super-Spreader Identification in Multilayer Networks
Jun 6, 2026Michał Czuba, Mateusz Stolarski, Adam Piróg +2Dynamical Systems Graph Foundation Models
Department of Artificial Intelligence, Wrocław University of Science and Technology, Wrocław, Poland · Semantics, Warsaw, Poland
Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis
Jun 6, 2026Zhuolin Yi, Jun Xue, Yanzhen Ren +5Training Data Curation ASVspoof
School of Cyber Science and Engineering, Wuhan University, China
New Benchmarking Shows Limited Generalization Power of TCR Antigenic Epitope Prediction Models
Jun 3, 2026Yiming Liao, Yiheng Li, Ning Jiang +2Cross-Dataset Generalization
Trustworthy and Intelligent Computing Lab (TAIC), Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, Maryland 21250, USA · Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA · Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA +5
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
Generalization Limits in Vehicle Re-Identification
Jun 1, 2026Anis Yassine Ben Mabrouk, Antoine Tadros, Rafael Grompone von Gioi +3Fine-Grained Visual Perception Cross-Dataset Generalization
CB · Universit´e Paris-Saclay, ENS Paris-Saclay, CNRS, Centre Borelli · CMLA, LIGM +3
Chem-PerturBridge: a harmonized compendium of small molecule perturbation transcriptomic effects
May 29, 2026Artur Szałata, Olga Novitskaia, Maiia Shulman +3Cross-Dataset Generalization Molecular Representation Learning
Institute of Computational Biology, Helmholtz Center Munich · TUM School of Life Sciences Weihenstephan, Technical University of Munich · Institut Curie, INSERM U1331, Computational Oncology +1
Half-Truth Audio Detection and Localisation: A Lightweight Cross-Attentive Architecture and a Cross-Corpus Diagnostic Study
May 28, 2026S. Sutharya, Remya K. SasiAudio Deepfake Detection Cross-Attention
aDepartment of Computer Science, Cochin University of Science and Technology, India
Robust Cross-Domain Generalization Using Unlabeled Target Data with Source-Domain Supervision
May 27, 2026Yuyue Zhou, Shrimanti Ghosh, Michael +7Ultrasound Image Segmentation Unsupervised Domain Adaptation
Kai Yue · Department of Radiology and Diagnostic Imaging, University of Alberta, 8303 112 St NW, Edmonton, T6G 2T4, AB, Canada
Explaining Tabular Foundation Model Differences Through Meta-Features
May 27, 2026Markus Herre, Andrej Tschalzev, Sascha Marton +1Tabular Foundation Models Tabular ML
Clausthal University of Technology, Clausthal-Zellerfeld, Germany · University of Mannheim, Mannheim, Germany
SpatialBench: Is Your Spatial Foundation Model an All-Round Player?
May 26, 2026Haosong Peng, Hao Li, Jiaqi Chen +10Representation Learning Benchmark Design
1Hong Kong University of Science and Technology · 2Nanyang Technological University · 3Northwestern Polytechnical University +2

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Domain Shift in Echocardiography: Interpretable Quantification and Prediction of Cross-Dataset Left Ventricular Segmentation

Soroush Elyasi, Nasim Dadashi Serej, Julie Wall, Massoud Zolgharni

THRIVE Centre, School of Computing and Engineering, University of West London, London, UK · School of Computing and Engineering, University of West London, London, UK

Ultrasound Image Segmentation Distribution Shift Echocardiography Task Transferability Estimation Transfer Learning Cross-Dataset Generalization

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Cross-dataset generalisation remains a major barrier to clinical deployment of echocardiographic left ventricular segmentation, yet the sources of this shift are rarely disentangled. We examined whether transfer degradation could be estimated before deployment using handcrafted ultrasound descriptors, VAE latent features, and segmentation-derived latent features across six echocardiographic datasets. Geometry-aware preprocessing substantially improved several poor transfer cases, suggesting that much of the apparent domain shift reflects field-of-view and framing inconsistencies rather than intrinsic acoustic differences alone. Intensity z-normalisation changed dataset separability by less than 0.005, indicating that brightness and contrast are not the dominant shift axis. Absolute Dice drop on held-out source-target pairs was predicted with an R-squared value of 0.612, an MAE of 0.082, and a Spearman rho of 0.681. The variant without LV and fan-shaped features retained approximately 70% of this explanatory power, supporting mask-free transfer-risk monitoring. The most informative discrepancy measure depended on the representation, with CMD strongest in z-normalised handcrafted features, with an absolute r of approximately 0.86 and an R-squared value of approximately 0.70; log-Wasserstein strongest in VAE space, with an r of approximately -0.90 and an R-squared value of approximately 0.81; and log-MMD strongest in LV-segmentation latent features, with an r of approximately -0.92 and an R-squared value of approximately 0.84. Apparent vendor effects were largely dataset-confounded. Echocardiographic domain shift is therefore structured and measurable, and its impact on segmentation can be partly reduced through geometry-aware preprocessing and anticipated using representation-specific transfer-risk estimation.

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