Unleashing the Potential of Residual and Dual-Stream Transformers for the Remote Sensing Image Analysis

Unleashing the Potential of Residual and Dual-Stream Transformers for the Remote Sensing Image Analysis

The categorization of remote sensing satellite imagery is crucial for various applications, including environmental monitoring, urban planning, and disaster management. Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) have exhibited exceptional performance among deep learning tech...

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Bibliographic Details
Main Authors:	Priya Mittal, Vishesh Tanwar, Bhisham Sharma, Dhirendra Prasad Yadav
Format:	Article
Language:	English
Published:	MDPI AG 2025-05-01
Series:	Journal of Imaging
Subjects:	ResNet50V2 ViT hybrid model dual-stream architecture attention mechanism
Online Access:	https://www.mdpi.com/2313-433X/11/5/156
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