Abstract: In recent years, the evolution of convolutional neural networks (CNNs) has paved the way for the development of deep-learning-based visual inspection techniques to identify damages in ...
Convolution and Transformer based hybrid neural network for Road Extraction in Remote Sensing Images
Abstract: Road extraction in remote sensing images has a wide range of applications and is influential in the fields of automatic driving, city planning, navigation, etc. However, there are many ...
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