Imagen de Portada

Cross-Scale Pretraining: Enhancing Self-Supervised Learning for Low-Resolution Satellite Imagery for Semantic Segmentation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Waithaka, John, Bwirayesu, Gustave, Busogi, Moise
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Position Prediction Self-Supervised Learning for Multimodal Satellite Imagery Semantic Segmentation
por: Waithaka, John, et al.
Publicado: (2025)

Self-Supervised Pretraining on Satellite Imagery: a Case Study on Label-Efficient Vehicle Detection
por: BOURCIER, Jules, et al.
Publicado: (2022)

Low-Resolution Self-Attention for Semantic Segmentation
por: Wu, Yu-Huan, et al.
Publicado: (2023)

Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning
por: Justo, Jon Alvarez, et al.
Publicado: (2023)

Towards Fair and Robust Volumetric CT Classification via KL-Regularised Group Distributionally Robust Optimisation
por: Johnny, Samuel, et al.
Publicado: (2026)

Subimage Overlap Prediction: Task-Aligned Self-Supervised Pretraining For Semantic Segmentation In Remote Sensing Imagery
por: Sharma, Lakshay, et al.
Publicado: (2026)

Can Location Embeddings Enhance Super-Resolution of Satellite Imagery?
por: Panangian, Daniel, et al.
Publicado: (2025)

Scaling Self-Supervised and Cross-Modal Pretraining for Volumetric CT Transformers
por: Claessens, Cris, et al.
Publicado: (2025)

An Atmospheric Correction Integrated LULC Segmentation Model for High-Resolution Satellite Imagery
por: Mukherjee, Soham, et al.
Publicado: (2024)

Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite Imagery
por: Bourcier, Jules, et al.
Publicado: (2022)

Enhancing Semantic Segmentation with Continual Self-Supervised Pre-training
por: Ebouky, Brown, et al.
Publicado: (2025)

A Tutorial on ALOS2 SAR Utilization: Dataset Preparation, Self-Supervised Pretraining, and Semantic Segmentation
por: Imamoglu, Nevrez, et al.
Publicado: (2026)

Large Scale Supervised Pretraining For Traumatic Brain Injury Segmentation
por: Ulrich, Constantin, et al.
Publicado: (2025)

Crowd Detection Using Very-Fine-Resolution Satellite Imagery
por: Xiao, Tong, et al.
Publicado: (2025)

Applying Unsupervised Semantic Segmentation to High-Resolution UAV Imagery for Enhanced Road Scene Parsing
por: Ma, Zihan, et al.
Publicado: (2024)

WakeupUrban: Unsupervised Semantic Segmentation of Mid-20$^{th}$ century Urban Landscapes with Satellite Imagery
por: Hao, Tianxiang, et al.
Publicado: (2025)

MAgSeg: Segmentation of Agricultural Landscapes in High-Resolution Satellite Imagery using Multimodal Large Language Models
por: Tiwary, Piyush, et al.
Publicado: (2026)

S3Net: Innovating Stereo Matching and Semantic Segmentation with a Single-Branch Semantic Stereo Network in Satellite Epipolar Imagery
por: Yang, Qingyuan, et al.
Publicado: (2024)

Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite Imagery
por: Lavreniuk, Mykola, et al.
Publicado: (2025)

GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning
por: Li, Xiaojie, et al.
Publicado: (2024)

SenPa-MAE: Sensor Parameter Aware Masked Autoencoder for Multi-Satellite Self-Supervised Pretraining
por: Prexl, Jonathan, et al.
Publicado: (2024)

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation
por: Hoque, Oishee Bintey, et al.
Publicado: (2025)

Scale-Aware Self-Supervised Learning for Segmentation of Small and Sparse Structures
por: Quesada, Jorge, et al.
Publicado: (2026)

MSSSeg: Learning Multi-Scale Structural Complexity for Self-Supervised Segmentation
por: Li, Haotang, et al.
Publicado: (2025)

Combining Transformers and CNNs for Efficient Object Detection in High-Resolution Satellite Imagery
por: Drapier, Nicolas, et al.
Publicado: (2025)

Self-Supervised Uncertainty Estimation For Super-Resolution of Satellite Images
por: Zheng, Zhe, et al.
Publicado: (2026)

Renormalized Connection for Scale-preferred Object Detection in Satellite Imagery
por: Zhang, Fan, et al.
Publicado: (2024)

Faster Training, Fewer Labels: Self-Supervised Pretraining for Fine-Grained BEV Segmentation
por: Busch, Daniel, et al.
Publicado: (2026)

Is Self-Supervised Pre-training on Satellite Imagery Better than ImageNet? A Systematic Study with Sentinel-2
por: Lahrichi, Saad, et al.
Publicado: (2025)

ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning
por: Ren, Sucheng, et al.
Publicado: (2024)

Understanding Self-Supervised Pretraining with Part-Aware Representation Learning
por: Zhu, Jie, et al.
Publicado: (2023)

SG-BEV: Satellite-Guided BEV Fusion for Cross-View Semantic Segmentation
por: Ye, Junyan, et al.
Publicado: (2024)

Coverage Biases in High-Resolution Satellite Imagery
por: Musienko, Vadim, et al.
Publicado: (2025)

Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation
por: Xu, Lian, et al.
Publicado: (2024)

Reverse Refinement Network for Narrow Rural Road Detection in High-Resolution Satellite Imagery
por: Wang, Ningjing, et al.
Publicado: (2024)

Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery
por: Zaytar, Akram, et al.
Publicado: (2024)

Robust Small Methane Plume Segmentation in Satellite Imagery
por: Tran, Khai Duc Minh, et al.
Publicado: (2025)

Contextual Hourglass Network for Semantic Segmentation of High Resolution Aerial Imagery
por: Li, Panfeng, et al.
Publicado: (2018)

Improving Satellite Imagery Masking using Multi-task and Transfer Learning
por: Daroya, Rangel, et al.
Publicado: (2024)

Using Deep Learning Models Pretrained by Self-Supervised Learning for Protein Localization
por: Isselmann, Ben, et al.
Publicado: (2026)