{"total":56,"rows":[{"id":"2207.08051","title":"SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery","created":"2022-07-17","cited_by_count":408,"area":null},{"id":"2311.00566","title":"CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders","created":"2023-11-01","cited_by_count":169,"area":null},{"id":"2206.13188","title":"Self-supervised Learning in Remote Sensing: A Review","created":"2022-06-27","cited_by_count":137,"area":null},{"id":"2203.12719","title":"What to Hide from Your Students: Attention-Guided Masked Image Modeling","created":"2022-03-23","cited_by_count":118,"area":null},{"id":"2211.07044","title":"SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation","created":"2022-11-13","cited_by_count":84,"area":null},{"id":"2304.05215","title":"A Billion-scale Foundation Model for Remote Sensing Images","created":"2023-04-11","cited_by_count":62,"area":null},{"id":"2304.09670","title":"CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding","created":"2023-04-19","cited_by_count":48,"area":null},{"id":"2506.20380","title":"TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis","created":"2025-06-25","cited_by_count":39,"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":"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":"2205.11319","title":"Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation","created":"2022-05-23","cited_by_count":22,"area":null},{"id":"2207.03860","title":"Consecutive Pretraining: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain","created":"2022-07-08","cited_by_count":22,"area":null},{"id":"2205.02049","title":"Self-Supervised Learning for Invariant Representations from Multi-Spectral and SAR Images","created":"2022-05-04","cited_by_count":20,"area":null},{"id":"2303.06670","title":"Extending global-local view alignment for self-supervised learning with remote sensing imagery","created":"2023-03-12","cited_by_count":20,"area":null},{"id":"2503.22081","title":"A Survey on Remote Sensing Foundation Models: From Vision to Multimodality","created":"2025-03-28","cited_by_count":19,"area":null},{"id":"2111.00678","title":"Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation","created":"2021-11-01","cited_by_count":18,"area":null},{"id":"2209.02329","title":"Multimodal contrastive learning for remote sensing tasks","created":"2022-09-06","cited_by_count":18,"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":"2401.04614","title":"Generic Knowledge Boosted Pre-training For Remote Sensing Images","created":"2024-01-09","cited_by_count":16,"area":null},{"id":"2111.09451","title":"Benchmarking and scaling of deep learning models for land cover image classification","created":"2021-11-18","cited_by_count":14,"area":null},{"id":"2109.07455","title":"Deep Bregman Divergence for Contrastive Learning of Visual Representations","created":"2021-09-15","cited_by_count":13,"area":null},{"id":"2201.08125","title":"Deep Unsupervised Contrastive Hashing for Large-Scale Cross-Modal Text-Image Retrieval in Remote Sensing","created":"2022-01-20","cited_by_count":10,"area":null},{"id":"2503.16683","title":"GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations","created":"2025-03-20","cited_by_count":10,"area":null},{"id":"2310.00022","title":"CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding","created":"2023-09-28","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":"2203.04445","title":"Self-Supervision, Remote Sensing and Abstraction: Representation Learning Across 3 Million Locations","created":"2022-03-08","cited_by_count":6,"area":null},{"id":"2108.07582","title":"Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images","created":"2021-08-17","cited_by_count":5,"area":null},{"id":"2208.11607","title":"Learning crop type mapping from regional label proportions in large-scale SAR and optical imagery","created":"2022-08-24","cited_by_count":5,"area":null},{"id":"2301.01200","title":"Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications","created":"2022-12-20","cited_by_count":5,"area":null},{"id":"2411.19346","title":"CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image Collections","created":"2024-11-28","cited_by_count":5,"area":null},{"id":"2108.09075","title":"Semi-supervised learning for joint SAR and multispectral land cover classification","created":"2021-08-20","cited_by_count":4,"area":null},{"id":"2111.03690","title":"Do we still need ImageNet pre-training in remote sensing scene classification?","created":"2021-11-05","cited_by_count":4,"area":null},{"id":"2302.01793","title":"Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification","created":"2023-02-03","cited_by_count":4,"area":null},{"id":"2210.06786","title":"Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite Imagery","created":"2022-10-13","cited_by_count":3,"area":null},{"id":"2306.15868","title":"GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation","created":"2023-06-28","cited_by_count":3,"area":null},{"id":"2405.09922","title":"Cross-sensor self-supervised training and alignment for remote sensing","created":"2024-05-16","cited_by_count":3,"area":null},{"id":"2508.12409","title":"S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing","created":"2025-08-17","cited_by_count":3,"area":null},{"id":"2510.22964","title":"Survey of Multimodal Geospatial Foundation Models: Techniques, Applications, and Challenges","created":"2025-10-27","cited_by_count":3,"area":null},{"id":"2604.21127","title":"HyperFM: An Efficient Hyperspectral Foundation Model with Spectral Grouping","created":"2026-04-22","cited_by_count":3,"area":null},{"id":"2210.11815","title":"Self-Supervised Pretraining on Satellite Imagery: a Case Study on Label-Efficient Vehicle Detection","created":"2022-10-21","cited_by_count":2,"area":null},{"id":"2307.15098","title":"Self-Supervised Learning for Improved Synthetic Aperture Sonar Target Recognition","created":"2023-07-27","cited_by_count":2,"area":null},{"id":"2310.03513","title":"Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery","created":"2023-10-05","cited_by_count":2,"area":null},{"id":"2211.05636","title":"Rare Wildlife Recognition with Self-Supervised Representation Learning","created":"2022-10-29","cited_by_count":1,"area":null},{"id":"2304.09874","title":"Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery","created":"2023-04-19","cited_by_count":1,"area":null},{"id":"2503.18540","title":"HiRes-FusedMIM: A High-Resolution RGB-DSM Pre-trained Model for Building-Level Remote Sensing Applications","created":"2025-03-24","cited_by_count":1,"area":null},{"id":"2505.19447","title":"A Contrastive Learning Foundation Model Based on Perfectly Aligned Sample Pairs for Remote Sensing Images","created":"2025-05-26","cited_by_count":1,"area":null},{"id":"2603.26751","title":"Survey on Remote Sensing Scene Classification: From Traditional Methods to Large Generative AI Models","created":"2026-03-23","cited_by_count":1,"area":null},{"id":"2604.27606","title":"ZAYAN: Disentangled Contrastive Transformer for Tabular Remote Sensing Data","created":"2026-04-30","cited_by_count":1,"area":null},{"id":"2107.05948","title":"Clustering-Based Representation Learning through Output Translation and Its Application to Remote--Sensing Images","created":"2021-07-13","cited_by_count":0,"area":null},{"id":"2205.05368","title":"Pre-trained Language Models as Re-Annotators","created":"2022-05-11","cited_by_count":0,"area":null},{"id":"2209.12621","title":"Improving Image Clustering through Sample Ranking and Its Application to remote--sensing images","created":"2022-09-26","cited_by_count":0,"area":null},{"id":"2301.12541","title":"Supervised and Contrastive Self-Supervised In-Domain Representation Learning for Dense Prediction Problems in Remote Sensing","created":"2023-01-29","cited_by_count":0,"area":null},{"id":"2302.05757","title":"Multispectral Contrastive Learning with Viewmaker Networks","created":"2023-02-11","cited_by_count":0,"area":null},{"id":"2303.07648","title":"SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial Expression Recognition in the Wild","created":"2023-03-14","cited_by_count":0,"area":null},{"id":"2304.06857","title":"Enhancing Self-Supervised Learning for Remote Sensing with Elevation Data: A Case Study with Scarce And High Level Semantic Labels","created":"2023-04-13","cited_by_count":0,"area":null},{"id":"2510.22655","title":"Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections","created":"2025-10-26","cited_by_count":0,"area":null}],"next_cursor":null}