VisionTwinNet: Gated Clarity Enhancement Paired With Light-Robust CD Transformers

VisionTwinNet: Gated Clarity Enhancement Paired With Light-Robust CD Transformers

Deep learning has shown superiority in change detection (CD) tasks, notably the Transformer architecture with its self-attention mechanism, capturing long-range dependencies and outperforming traditional models. This capability provides the Transformer with significant advantages in capturing global...

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Bibliographic Details
Main Authors: Tianao Chen, Aotian Chen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Automatically adjustable framework
change detection
deep learning
multi-scale feature extraction
transformer
Online Access:https://ieeexplore.ieee.org/document/10381684/

Internet

https://ieeexplore.ieee.org/document/10381684/

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