IEEE

Superpixel Guided Deformable Convolution Network for Hyperspectral Image Classification

Abstract: Convolutional neural networks are widely used in the field of hyperspectral image classification because of their excellent nonlinear feature extraction ability. However, as the sampling ...
IEEE

Electrical Impedance Tomography Deep Imaging With Dual-Branch U-Net Based on Deformable Convolution and Hyper-Convolution

Abstract: Electrical impedance tomography (EIT) is a new imaging modality for nonionizing radiation that uses a safe current applied to the surface and measures the response voltage on a boundary ...
GitHub

[AAAI 2026]Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection

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 ...
GitHub

Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation

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 ...