LiDAR point cloud semantic segmentation enables the robots to obtain fine-grained semantic information of the surrounding environment. Recently, many works project the point cloud onto the 2D image ...

Abstract: Graph Neural Networks (GNNs) have been gaining more attention due to their excellent performance in modeling various graph-structured data. However, most of the current GNNs only consider ...

Offical implementation of "Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection" we also add our config in https://github.com/zcablii/LSKNet and ...

Fair Value is the appropriate price for the shares of a company, based on its earnings and growth rate also interpreted as when P/E Ratio = Growth Rate. Estimated return represents the projected ...

Abstract: Deep-learning-based methods are increasingly being applied in hyperspectral image unmixing (HSU) tasks, among which the transformer model has shown superior performance and faster processing ...