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Synthetic Data357 papers Synthetic Data233 papers Synthetic Data Augmentation155 papers Synthetic Dataset54 papers Synthetic Tabular Data42 papers Synthetic Training Data33 papers

2,161–2,190 of 2,587

Papers

SARLO-80: Worldwide Slant SAR Language Optic Dataset 80cm
Jun 18, 2026Solène Debuysère, Nicolas Trouvé, Nathan Letheule +2Synthetic Aperture Radar Multimodal Dataset
Revealing the Pitfalls and Re-Evaluating the Advancement of Heterophilic Graph Learning
Sep 9, 2024Sitao Luan, Qincheng Lu, Chenqing Hua +3Graph Homophily Graph Neural Networks
Differentially Private Motif-Preserving Multi-modal Hashing
May 14, 2026Zehua Cheng, Wei Dai, Jiahao SunLocality-Sensitive Hashing Differential Privacy
OmniHumanoid: Streaming Cross-Embodiment Video Generation with Paired-Free Adaptation
May 12, 2026Yiren Song, Xiyao Deng, Pei Yang +2Cross-Embodiment Transfer Embodiment
Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality
Jul 12, 2026Melanie Wille, Dimity Miller, Tobias Fischer +1Underwater Image Enhancement Detection Framework
Realistic Compound-Lens Defocus Blur Synthesis
Jul 7, 2026Yunkyu Lee, Woohyeok Kim, Sunghyun ChoMotion Blur Synthetic-To-Real Domain Gap
Data Enrichment for Symbolic Regression Using Diffusion Models
May 31, 2026Simon De Reuver, Tamas Kristof Toth, Teddy LazebnikSymbolic Regression Enrichment
Prediction-Powered Inference Across Many Tasks for AI Evaluation & Social Science Research
May 28, 2026Nicolas Emmenegger, Ellery Stahler, Chara PodimataArtificial Intelligence Evaluation Computational Social Science
A Novel Schur-Decomposition-Based Weight Projection Method for Stable State-Space Neural-Network Architectures
May 14, 2026Sergio Vanegas, Lasse Lensu, Fredy RuizDiscrete-Time Linear Systems System Identification
Risk-Controlled Post-Processing of Decision Policies
May 7, 2026Sunay Joshi, Tao Wang, Hamed Hassani +1Conformal Risk Control Post-Processing
Empirical evidence of Large Language Model's influence on human spoken communication
Sep 3, 2024Hiromu Yakura, Ezequiel Lopez-Lopez, Levin Brinkmann +7Linguistics Chatbots
PopPert: Population-level Joint-Distribution Modeling for Single-Cell Perturbation Prediction
Sep 1, 2026Handong Wang, Jiaxin Qi, Haochen Feng +1Single-Cell Perturbation Prediction Spatial Transcriptomics
Monitoring Post-Disaster Urban Recovery Using High-Resolution SAR Time Series and Unsupervised Learning: Evidence from the 2023 Türkiye-Syria Earthquake
Jul 27, 2026Luigi Russo, Deodato Tapete, Silvia Liberata Ullo +1Post-Disaster Damage Assessment Synthetic Aperture Radar
An Information Theoretic Framework for Graph Novelty Generation via Latent Mixture Modeling
Jun 18, 2026Itsuki Nakagawa, Kenji YamanishiGraph Representation Learning Generative Models
S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection
Apr 21, 2026Xuelin Zhang, Hong Chen, Yingjie Wang +2Semi-Supervised Learning Regularization Techniques
Draining Fictitious Knots: Restoring Distance-Awareness Guarantees for High-Dimensional Spline Networks
Sep 14, 2026Masoud Ataei, Mohammad Javad Khojasteh, Vikas DhimanKolmogorov-Arnold Networks Knots
Robust Recommendation from Noisy Implicit Feedback: A GMM-Weighted Bayes-label Transition Matrix Framework
May 20, 2026Zongyu Li, Xuanyu Liu, Gongce Cao +3Noisy Labels Recommender Systems
EmbodiedDiffusion: End-to-End Traversability-Guided Visual Diffusion for Heterogeneous Robot Navigation
Dec 2, 2025Iana Zhura, Sausar Karaf, Faryal Batool +7Traversability Diffusion Planning
FDRMFL: Multimodal Federated Feature Extraction Model Based on Information Maximization and Contrastive Learning
Nov 30, 2025Haozhe WuCross-Modal Learning Contrastive Learning
Genetic algorithm vs. gradient descent for training a neural network architecture dedicated to low data regimes in small medical datasets
May 13, 2026Amine Boukhari, Boglarka Ecsedi, Laszlo Papp +1Neural Architectures Gradient Descent
Diversity-Driven Offline Multi-Objective Optimization via Nested Pareto Set Learning
Jun 13, 2026Yiyi Zhu, Yaolin Wen, Xiang Xia +6Multi-Objective Optimization Pareto Frontier
Data-Driven Forecasting of three-Component Seismograms Using Transformer Architectures
Jun 1, 2026Waleed Esmail, Stuart Russell, Jana Klinge +2Full Waveform Inversion Autoregressive Transformers
Contrastive Conditional-Unconditional Alignment for Long-tailed Diffusion Model
Jul 11, 2025Fang Chen, Alex Villa, Gongbo Liang +3Discrete Diffusion Model Contrastive Alignment
The Slop Paradox: How Synthetic Standardization Erodes Clinical Uncertainty and Cross-Modal Alignment in AI-Rewritten Radiology Reports
Jun 16, 2026Samar AnsariRadiology Report Generation Clinical Notes
PromptShift-CRC: Drift-Aware Conformal Risk Control for Foundation Models Under Prompt and Domain Shift
Jun 14, 2026Jeffery Opoku, David BanaheneConformal Risk Control Wireless Foundation Models
Measure-to-measure Regression with Transformers
May 27, 2026Matthew Vandergrift, Martha White, Yury Polyanskiy +2Representation Learning Transformer Architectures
A Computationally Feasible Framework for Causal Probabilistic Explanation
Sep 3, 2026Rafal Urbaniak, Sam Witty, Daniel Waxman +7Structural Causal Model Causal Reasoning
SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence
May 29, 2026Yulu Pan, Han Yi, Seongsu Ha +4Video Understanding Multi-Agent Systems
On the Blessing of Pre-training in Weak-to-Strong Generalization
May 7, 2026Wei Yao, Wang Zhaoyang, Gengze Xu +5Weak Supervision Model Pretraining
The Era by Eon Benchmark: A Generated Enterprise Estate with Exact Ground Truth for Benchmarking LLM Agents
Sep 9, 2026Benjamin Gruenbaum, Doron Porat, Assaf Natanzon +3Large Language Model Agents Ground Truth

Jun 18, 2026 · cs.CVJ/K move · Enter open · S save

SARLO-80: Worldwide Slant SAR Language Optic Dataset 80cm

Solène Debuysère, Nicolas Trouvé, Nathan Letheule, Elise Colin+1

1DEMR-ONERA – The French Aerospace Lab, Université Paris-Saclay, Palaiseau, France · 2DTIS-ONERA – The French Aerospace Lab, Université Paris-Saclay, Palaiseau, France · 3Hugging Face, London

Multimodal foundation models have advanced rapidly thanks to large optical benchmarks, but comparable resources for synthetic aperture radar (SAR) remain limited. Existing SAR--optical datasets largely rely on low-resolution, intensity-only Ground Range Detected~(GRD) products and do not preserve complex-valued SAR measurements or native acquisition geometry, which restricts physically grounded multimodal learning. In particular, large-scale public datasets combining very-high-resolution (VHR) SAR SLC, aligned optical imagery, and natural-language descriptions are still lacking. We present a VHR SAR--optical--text dataset built from open-access Umbra spotlight acquisitions distributed as Sensor Independent Complex Data (SICD). From around 2,500 worldwide scenes (VV/HH, 20cm--2m native resolution), we standardize all SAR data to an 80cm slant-range grid via band-limited FFT resampling and tile the imagery into 1024 by 1024 patches. For each SAR patch, we retrieve a high-resolution optical tile and warp it into the SAR grid using local coordinate correspondences for local pixel-level alignment. We further generate three caption variants (SHORT/MID/LONG) per sample to support vision--language training and evaluation. Our dataset contains 119,566 triplets (complex and amplitude slant-range SAR patch, aligned optical patch, natural-language description) covering 257 locations across 72 countries and a broad range of land types and infrastructures. We release fixed train/validation/test splits and the full preprocessing and baseline code to enable reproducible benchmarks for multimodal alignment on cross-modal retrieval and conditional generation in native SAR geometry. The dataset is publicly available on the Hugging Face Hub at https://huggingface.co/datasets/ONERA/SARLO-80.

Synthetic Aperture Radar Multimodal Dataset Aerial Dataset Multimodal Alignment

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