Cover Image

Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bernhard, Maximilian, Hannan, Tanveer, Strauß, Niklas, Schubert, Matthias
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hierarchical Semi-Supervised Active Learning for Remote Sensing
by: Huang, Wei, et al.
Published: (2025)

Boosting Semi-Supervised Object Detection in Remote Sensing Images With Active Teaching
by: Zhang, Boxuan, et al.
Published: (2024)

S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing
by: Lv, Liang, et al.
Published: (2025)

MetaSegNet: Metadata-collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images
by: Wang, Libo, et al.
Published: (2023)

ChangeBridge: Spatiotemporal Image Generation with Multimodal Controls for Remote Sensing
by: Zhao, Zhenghui, et al.
Published: (2025)

Vision-Language Model Purified Semi-Supervised Semantic Segmentation for Remote Sensing Images
by: Wang, Shanwen, et al.
Published: (2026)

In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification
by: Dimitrovski, Ivica, et al.
Published: (2023)

Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization
by: Hannan, Darryl, et al.
Published: (2025)

Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images
by: Liu, Ye, et al.
Published: (2021)

SCORE: Scene Context Matters in Open-Vocabulary Remote Sensing Instance Segmentation
by: Huang, Shiqi, et al.
Published: (2025)

RS-MTDF: Multi-Teacher Distillation and Fusion for Remote Sensing Semi-Supervised Semantic Segmentation
by: Song, Jiayi, et al.
Published: (2025)

Toward Stable Semi-Supervised Remote Sensing Segmentation via Co-Guidance and Co-Fusion
by: Zhou, Yi, et al.
Published: (2025)

EoCD: Encoder only Remote Sensing Change Detection
by: Noman, Mubashir, et al.
Published: (2026)

C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images
by: Han, Chengxi, et al.
Published: (2024)

Continual Self-Supervised Learning with Masked Autoencoders in Remote Sensing
by: Möllenbrok, Lars, et al.
Published: (2025)

RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos
by: Hannan, Tanveer, et al.
Published: (2023)

SemiISP/SemiIE: Semi-Supervised Image Signal Processor and Image Enhancement Leveraging One-to-Many Mapping sRGB-to-RAW
by: Yoshimura, Masakazu, et al.
Published: (2025)

A Decade of Deep Learning for Remote Sensing Spatiotemporal Fusion: Advances, Challenges, and Opportunities
by: Sun, Enzhe, et al.
Published: (2025)

Context-Enhanced Detector For Building Detection From Remote Sensing Images
by: Huang, Ziyue, et al.
Published: (2023)

Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
by: Denton, Remi, et al.
Published: (2016)

PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images
by: Liu, Nanqing, et al.
Published: (2024)

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting
by: Sun, Huawei, et al.
Published: (2025)

VFM-Guided Semi-Supervised Detection Transformer under Source-Free Constraints for Remote Sensing Object Detection
by: Han, Jianhong, et al.
Published: (2025)

CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding
by: Zhang, Mingming, et al.
Published: (2023)

Single-Temporal Supervised Learning for Universal Remote Sensing Change Detection
by: Zheng, Zhuo, et al.
Published: (2024)

Supervised and Contrastive Self-Supervised In-Domain Representation Learning for Dense Prediction Problems in Remote Sensing
by: Ghanbarzade, Ali, et al.
Published: (2023)

Semi-rPPG: Semi-Supervised Remote Physiological Measurement with Curriculum Pseudo-Labeling
by: Wu, Bingjie, et al.
Published: (2025)

Cross-modal Context-aware Learning for Visual Prompt Guided Multimodal Image Understanding in Remote Sensing
by: Zhang, Xu, et al.
Published: (2025)

TSE-Net: Semi-supervised Monocular Height Estimation from Single Remote Sensing Images
by: Chen, Sining, et al.
Published: (2025)

Self-Supervised Cross-Modal Text-Image Time Series Retrieval in Remote Sensing
by: Hoxha, Genc, et al.
Published: (2025)

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing
by: Ye, Hui, et al.
Published: (2024)

Universal Semi-Supervised Learning for Medical Image Classification
by: Ju, Lie, et al.
Published: (2023)

Pattern Integration and Enhancement Vision Transformer for Self-Supervised Learning in Remote Sensing
by: Lu, Kaixuan, et al.
Published: (2024)

A Plasticity-Aware Method for Continual Self-Supervised Learning in Remote Sensing
by: Möllenbrok, Lars, et al.
Published: (2025)

Dynamic Dictionary Learning for Remote Sensing Image Segmentation
by: Zou, Xuechao, et al.
Published: (2025)

3D Building Reconstruction from Monocular Remote Sensing Images with Multi-level Supervisions
by: Li, Weijia, et al.
Published: (2024)

Weakly Supervised Ephemeral Gully Detection In Remote Sensing Images Using Vision Language Models
by: Tousi, Seyed Mohamad Ali, et al.
Published: (2025)

USF-Net: A Unified Spatiotemporal Fusion Network for Ground-Based Remote Sensing Cloud Image Sequence Extrapolation
by: Niu, Penghui, et al.
Published: (2025)

Compositional Segmentation of Cardiac Images Leveraging Metadata
by: Khan, Abbas, et al.
Published: (2024)

Quality-Guided Semi-Supervised Learning for Medical Image Segmentation
by: Abhishek, Kumar, et al.
Published: (2026)