{"total":21,"rows":[{"id":"2206.13188","title":"Self-supervised Learning in Remote Sensing: A Review","created":"2022-06-27","cited_by_count":137,"area":null},{"id":"2306.09424","title":"SSL4EO-L: Datasets and Foundation Models for Landsat Imagery","created":"2023-06-15","cited_by_count":49,"area":null},{"id":"2210.04936","title":"EarthNets: Empowering AI in Earth Observation","created":"2022-10-10","cited_by_count":40,"area":null},{"id":"2112.06343","title":"Change Detection Meets Visual Question Answering","created":"2021-12-12","cited_by_count":29,"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":"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":"2205.13769","title":"Semantic-aware Dense Representation Learning for Remote Sensing Image Change Detection","created":"2022-05-27","cited_by_count":16,"area":null},{"id":"2205.15903","title":"Inferring 3D change detection from bitemporal optical images","created":"2022-05-31","cited_by_count":10,"area":null},{"id":"2406.08020","title":"Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model","created":"2024-06-12","cited_by_count":10,"area":null},{"id":"2105.08501","title":"Self-supervised Remote Sensing Images Change Detection at Pixel-level","created":"2021-05-18","cited_by_count":9,"area":null},{"id":"2506.19585","title":"SMARTIES: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images","created":"2025-06-24","cited_by_count":9,"area":null},{"id":"2111.10079","title":"Evaluating Self and Semi-Supervised Methods for Remote Sensing Segmentation Tasks","created":"2021-11-19","cited_by_count":7,"area":null},{"id":"2507.03367","title":"Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices","created":"2025-07-04","cited_by_count":6,"area":null},{"id":"2201.05778","title":"Semantic decoupled representation learning for remote sensing image change detection","created":"2022-01-15","cited_by_count":4,"area":null},{"id":"2202.13251","title":"Supervising Remote Sensing Change Detection Models with 3D Surface Semantics","created":"2022-02-26","cited_by_count":4,"area":null},{"id":"2204.02100","title":"Self-supervised learning -- A way to minimize time and effort for precision agriculture?","created":"2022-04-05","cited_by_count":4,"area":null},{"id":"2303.09536","title":"Deep Metric Learning for Unsupervised Remote Sensing Change Detection","created":"2023-03-16","cited_by_count":4,"area":null},{"id":"2304.11375","title":"Unsupervised CD in satellite image time series by contrastive learning and feature tracking","created":"2023-04-22","cited_by_count":3,"area":null},{"id":"2510.14661","title":"EuroMineNet: A Multitemporal Sentinel-2 Benchmark for Spatiotemporal Mining Footprint Analysis in the European Union (2015-2024)","created":"2025-10-16","cited_by_count":1,"area":null},{"id":"2211.13756","title":"Contrastive pretraining for semantic segmentation is robust to noisy positive pairs","created":"2022-11-24","cited_by_count":0,"area":null},{"id":"2511.23029","title":"Geodiffussr: Generative Terrain Texturing with Elevation Fidelity","created":"2025-11-28","cited_by_count":0,"area":null}],"next_cursor":null}