ABCNet: An Attentive Bilateral Contextual Neural Network
ABCNet: Attentive Bilateral Contextual Network for Efficient Semantic Segmentation of Fine-Resolution Remote Sensing Images
The high-caliber performance of the convolutional neural network (cnn) heavily relies on fine-grained spatial details (fine resolution) and sufficient contextual information (large receptive fields), both of which trigger high computational costs.This crucially impedes their practicability and availability in real-world scenarios that require real-time processing.Segmentation of remote sensing images plays a crucial role in precision agriculture, environmental protection, and economic assessment.This crucially impedes their practicability and availability in real-world scenarios that require real-time processing.
