ORSI-Phoenix: A Cross-Task Learning Framework for Optical Remote Sensing Salient Object Detection

Salient object detection in optical remote sensing images (ORSI-SOD) remains a challenging task due to sensor-specific characteristics, including high intra-class variance, low object contrast, and complex background clutter. In addition, the scarcity of large-scale annotated datasets further hinder...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Ahmed A. Dabas, Nagia M. Ghanem, Mohamed A. Ismail
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2026-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Optical remote sensing imagery (ORSI) salient object detection (SOD) camouflaged object detection (COD) optical remote sensing image salient object detection (ORSI-SOD) cross-task learning masked autoencoders (MAE)
Online-Zugang:	https://ieeexplore.ieee.org/document/11570867/
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