{"total":262,"rows":[{"id":"2110.08733","title":"LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation","created":"2021-10-17","cited_by_count":261,"area":null},{"id":"2211.15660","title":"SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding","created":"2022-11-28","cited_by_count":167,"area":null},{"id":"2103.05569","title":"FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery","created":"2021-03-09","cited_by_count":143,"area":null},{"id":"2210.10732","title":"OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping","created":"2022-10-19","cited_by_count":82,"area":null},{"id":"2203.12560","title":"DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation","created":"2022-03-23","cited_by_count":78,"area":null},{"id":"2107.09244","title":"S2Looking: A Satellite Side-Looking Dataset for Building Change Detection","created":"2021-07-20","cited_by_count":77,"area":null},{"id":"2111.08872","title":"TorchGeo: Deep Learning With Geospatial Data","created":"2021-11-17","cited_by_count":73,"area":null},{"id":"2305.03273","title":"Semantic Segmentation using Vision Transformers: A survey","created":"2023-05-05","cited_by_count":73,"area":null},{"id":"2412.04204","title":"PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models","created":"2024-12-05","cited_by_count":68,"area":null},{"id":"2305.08196","title":"A Comprehensive Survey on Segment Anything Model for Vision and Beyond","created":"2023-05-14","cited_by_count":64,"area":null},{"id":"2102.04420","title":"The Multi-Temporal Urban Development SpaceNet Dataset","created":"2021-02-08","cited_by_count":62,"area":null},{"id":"2101.00443","title":"Semantics for Robotic Mapping, Perception and Interaction: A Survey","created":"2021-01-02","cited_by_count":56,"area":null},{"id":"2111.04724","title":"SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning","created":"2021-11-08","cited_by_count":54,"area":null},{"id":"2107.12283","title":"Continental-Scale Building Detection from High Resolution Satellite Imagery","created":"2021-07-26","cited_by_count":50,"area":null},{"id":"2112.01715","title":"Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks","created":"2021-12-03","cited_by_count":49,"area":null},{"id":"2304.13000","title":"Segment anything, from space?","created":"2023-04-25","cited_by_count":42,"area":null},{"id":"2310.13336","title":"FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery","created":"2023-10-20","cited_by_count":41,"area":null},{"id":"2202.12361","title":"RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment","created":"2022-02-24","cited_by_count":40,"area":null},{"id":"2210.04936","title":"EarthNets: Empowering AI in Earth Observation","created":"2022-10-10","cited_by_count":40,"area":null},{"id":"2305.02034","title":"SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model","created":"2023-05-03","cited_by_count":38,"area":null},{"id":"2104.03778","title":"Progressive Semantic Segmentation","created":"2021-04-08","cited_by_count":35,"area":null},{"id":"2204.04716","title":"TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning","created":"2022-04-10","cited_by_count":35,"area":null},{"id":"2410.06964","title":"Bridge the Points: Graph-based Few-shot Segment Anything Semantically","created":"2024-10-09","cited_by_count":35,"area":null},{"id":"2106.10605","title":"Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images","created":"2021-06-20","cited_by_count":31,"area":null},{"id":"2209.00727","title":"Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite Imagery","created":"2022-09-01","cited_by_count":31,"area":null},{"id":"2401.08407","title":"Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining","created":"2024-01-16","cited_by_count":30,"area":null},{"id":"2410.22629","title":"CrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic Segmentation","created":"2024-10-30","cited_by_count":27,"area":null},{"id":"2406.08372","title":"APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation","created":"2024-06-12","cited_by_count":26,"area":null},{"id":"2410.01768","title":"SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images","created":"2024-10-02","cited_by_count":25,"area":null},{"id":"2108.00688","title":"Self-supervised Audiovisual Representation Learning for Remote Sensing Data","created":"2021-08-02","cited_by_count":24,"area":null},{"id":"2112.07812","title":"Structure-Aware Image Segmentation with Homotopy Warping","created":"2021-12-15","cited_by_count":24,"area":null},{"id":"2211.08129","title":"Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works","created":"2022-11-15","cited_by_count":24,"area":null},{"id":"2306.15521","title":"What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation","created":"2023-06-27","cited_by_count":24,"area":null},{"id":"2305.06422","title":"An Empirical Study on the Robustness of the Segment Anything Model (SAM)","created":"2023-05-10","cited_by_count":23,"area":null},{"id":"2305.10899","title":"Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark","created":"2023-05-18","cited_by_count":22,"area":null},{"id":"2402.17614","title":"Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot Segmentation","created":"2024-02-27","cited_by_count":22,"area":null},{"id":"2208.00928","title":"OmniCity: Omnipotent City Understanding with Multi-level and Multi-view Images","created":"2022-08-01","cited_by_count":21,"area":null},{"id":"2108.12611","title":"Stagewise Unsupervised Domain Adaptation with Adversarial Self-Training for Road Segmentation of Remote Sensing Images","created":"2021-08-28","cited_by_count":20,"area":null},{"id":"2109.11071","title":"Learning to Downsample for Segmentation of Ultra-High Resolution Images","created":"2021-09-22","cited_by_count":19,"area":null},{"id":"2309.01907","title":"SyntheWorld: A Large-Scale Synthetic Dataset for Land Cover Mapping and Building Change Detection","created":"2023-09-05","cited_by_count":19,"area":null},{"id":"2412.19492","title":"Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation","created":"2024-12-27","cited_by_count":19,"area":null},{"id":"2104.00564","title":"Domain-Adversarial Training of Self-Attention Based Networks for Land Cover Classification using Multi-temporal Sentinel-2 Satellite Imagery","created":"2021-04-01","cited_by_count":18,"area":null},{"id":"2109.07701","title":"SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving","created":"2021-09-16","cited_by_count":18,"area":null},{"id":"2306.08693","title":"Integrating Uncertainty Awareness into Conformalized Quantile Regression","created":"2023-06-14","cited_by_count":17,"area":null},{"id":"2410.22135","title":"Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation","created":"2024-10-29","cited_by_count":17,"area":null},{"id":"2303.09310","title":"GLH-Water: A Large-Scale Dataset for Global Surface Water Detection in Large-Size Very-High-Resolution Satellite Imagery","created":"2023-03-16","cited_by_count":16,"area":null},{"id":"2307.00711","title":"Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation","created":"2023-07-03","cited_by_count":16,"area":null},{"id":"2512.08730","title":"SegEarth-OV3: Exploring SAM 3 for Open-Vocabulary Semantic Segmentation in Remote Sensing Images","created":"2025-12-09","cited_by_count":16,"area":null},{"id":"2307.09693","title":"GlobalMapper: Arbitrary-Shaped Urban Layout Generation","created":"2023-07-19","cited_by_count":15,"area":null},{"id":"2206.05400","title":"High-Definition Map Generation Technologies For Autonomous Driving","created":"2022-06-11","cited_by_count":14,"area":null},{"id":"2303.02460","title":"Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis","created":"2023-03-04","cited_by_count":14,"area":null},{"id":"2307.03398","title":"Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery with Supplementary Materials","created":"2023-07-07","cited_by_count":14,"area":null},{"id":"2404.10322","title":"Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation","created":"2024-04-16","cited_by_count":14,"area":null},{"id":"2312.06719","title":"SkyScenes: A Synthetic Dataset for Aerial Scene Understanding","created":"2023-12-11","cited_by_count":13,"area":null},{"id":"2404.04823","title":"3D Building Reconstruction from Monocular Remote Sensing Images with Multi-level Supervisions","created":"2024-04-07","cited_by_count":13,"area":null},{"id":"2405.15265","title":"Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation","created":"2024-05-24","cited_by_count":13,"area":null},{"id":"2501.10891","title":"OpenEarthMap-SAR: A Benchmark Synthetic Aperture Radar Dataset for Global High-Resolution Land Cover Mapping","created":"2025-01-18","cited_by_count":13,"area":null},{"id":"2509.20234","title":"ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression","created":"2025-09-24","cited_by_count":13,"area":null},{"id":"2311.12912","title":"Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentation","created":"2023-11-21","cited_by_count":11,"area":null},{"id":"2410.23278","title":"OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction","created":"2024-10-30","cited_by_count":11,"area":null},{"id":"2605.29330","title":"EarthShift: a benchmark for measuring robustness to real-world distribution shifts in Earth observation","created":"2026-05-28","cited_by_count":11,"area":null},{"id":"2201.06750","title":"DDU-Net: Dual-Decoder-U-Net for Road Extraction Using High-Resolution Remote Sensing Images","created":"2022-01-18","cited_by_count":10,"area":null},{"id":"2302.13447","title":"Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling","created":"2023-02-27","cited_by_count":10,"area":null},{"id":"2409.10389","title":"Prompt-and-Transfer: Dynamic Class-aware Enhancement for Few-shot Segmentation","created":"2024-09-16","cited_by_count":10,"area":null},{"id":"2411.16733","title":"Towards Satellite Image Road Graph Extraction: A Global-Scale Dataset and A Novel Method","created":"2024-11-23","cited_by_count":10,"area":null},{"id":"2511.23332","title":"UniGeoSeg: Towards Unified Open-World Segmentation for Geospatial Scenes","created":"2025-11-28","cited_by_count":10,"area":null},{"id":"2105.08229","title":"Single View Geocentric Pose in the Wild","created":"2021-05-18","cited_by_count":9,"area":null},{"id":"2110.07782","title":"Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite Images","created":"2021-10-15","cited_by_count":9,"area":null},{"id":"2207.13050","title":"Efficient High-Resolution Deep Learning: A Survey","created":"2022-07-26","cited_by_count":9,"area":null},{"id":"2402.19004","title":"RSAM-Seg: A SAM-based Approach with Prior Knowledge Integration for Remote Sensing Image Semantic Segmentation","created":"2024-02-29","cited_by_count":9,"area":null},{"id":"2406.18151","title":"SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery","created":"2024-06-26","cited_by_count":9,"area":null},{"id":"2503.20000","title":"The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs","created":"2025-03-25","cited_by_count":9,"area":null},{"id":"2107.12499","title":"CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels","created":"2021-07-26","cited_by_count":8,"area":null},{"id":"2204.07969","title":"Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images","created":"2022-04-17","cited_by_count":8,"area":null},{"id":"2209.05774","title":"PointScatter: Point Set Representation for Tubular Structure Extraction","created":"2022-09-13","cited_by_count":8,"area":null},{"id":"2211.07928","title":"False: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image","created":"2022-11-15","cited_by_count":8,"area":null},{"id":"2301.13422","title":"Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors","created":"2023-01-31","cited_by_count":8,"area":null},{"id":"2305.12011","title":"Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data","created":"2023-05-19","cited_by_count":8,"area":null},{"id":"2503.21150","title":"The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation","created":"2025-03-27","cited_by_count":8,"area":null},{"id":"2508.18067","title":"Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images","created":"2025-08-25","cited_by_count":8,"area":null},{"id":"2103.09787","title":"Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery","created":"2021-03-17","cited_by_count":7,"area":null},{"id":"2104.14032","title":"Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery","created":"2021-04-28","cited_by_count":7,"area":null},{"id":"2204.02111","title":"Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation","created":"2022-04-05","cited_by_count":7,"area":null},{"id":"2301.03432","title":"Multi-Modal and Multi-Resolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and Benchmark","created":"2023-01-09","cited_by_count":7,"area":null},{"id":"2506.07376","title":"Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation","created":"2025-06-09","cited_by_count":7,"area":null},{"id":"2204.04358","title":"Segmenting across places: The need for fair transfer learning with satellite imagery","created":"2022-04-09","cited_by_count":6,"area":null},{"id":"2211.06560","title":"PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise Binarization","created":"2022-11-12","cited_by_count":6,"area":null},{"id":"2309.01828","title":"Secure and Efficient Federated Learning in LEO Constellations using Decentralized Key Generation and On-Orbit Model Aggregation","created":"2023-09-04","cited_by_count":6,"area":null},{"id":"2401.00685","title":"Communication-Efficient Federated Learning for LEO Satellite Networks Integrated with HAPs Using Hybrid NOMA-OFDM","created":"2024-01-01","cited_by_count":6,"area":null},{"id":"2409.17453","title":"AgMTR: Agent Mining Transformer for Few-shot Segmentation in Remote Sensing","created":"2024-09-26","cited_by_count":6,"area":null},{"id":"2506.07080","title":"FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mapping","created":"2025-06-08","cited_by_count":6,"area":null},{"id":"2110.04690","title":"Beyond Road Extraction: A Dataset for Map Update using Aerial Images","created":"2021-10-10","cited_by_count":5,"area":null},{"id":"2210.06216","title":"Hierarchical Instance Mixing across Domains in Aerial Segmentation","created":"2022-10-12","cited_by_count":5,"area":null},{"id":"2307.08434","title":"Dense Affinity Matching for Few-Shot Segmentation","created":"2023-07-17","cited_by_count":5,"area":null},{"id":"2312.04813","title":"DARNet: Bridging Domain Gaps in Cross-Domain Few-Shot Segmentation with Dynamic Adaptation","created":"2023-12-08","cited_by_count":5,"area":null},{"id":"2405.05260","title":"Financial Table Extraction in Image Documents","created":"2024-03-18","cited_by_count":5,"area":null},{"id":"2412.04243","title":"Quantifying the Limits of Segmentation Foundation Models: Modeling Challenges in Segmenting Tree-Like and Low-Contrast Objects","created":"2024-12-05","cited_by_count":5,"area":null},{"id":"2503.23106","title":"A large-scale image-text dataset benchmark for farmland segmentation","created":"2025-03-29","cited_by_count":5,"area":null},{"id":"2508.16272","title":"IRSAMap:Towards Large-Scale, High-Resolution Land Cover Map Vectorization","created":"2025-08-22","cited_by_count":5,"area":null},{"id":"2510.21391","title":"TerraGen: A Unified Multi-Task Layout Generation Framework for Remote Sensing Data Augmentation","created":"2025-10-24","cited_by_count":5,"area":null}],"next_cursor":"100"}