RGBX_Semantic_Segmentation The official implementation of CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers (IEEE T-ITS 2023): More details can be found in our paper [PDF]. Usage Installation Requirements Python 3.7+ PyTorch 1.7.0 or higher CUDA 10.2 or higher We have...
RGBX_Semantic_Segmentation The official implementation of CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers: More details can be found in our paper [PDF]. README is still not complete... Usage Installation Requirements Python 3.7+ PyTorch 1.7.0 or higher CUDA 10.2 or ...
Semantic segmentation is one of the most important tasks in the field of computer vision. It is the main step towards scene understanding. With the advent of RGB-Depth sensors, such as Microsoft Kinect, nowadays RGB-Depth images are easily available. This has changed the landscape of some ...
His main research interests include depth estimation, 3D scene understanding, and robot control.References (74) Q. Liu et al. Multi-stage context refinement network for semantic segmentation Neurocomputing (2023) P. Sheng et al. Lsnet: Real-time attention semantic segmentation network with linear ...
RGB-D semantic segmentation with depth information has been proved to achieve better segmentation results by a lot of experiments, but there is a lack of a comprehensive survey. In this paper, the main purpose is to offer a detailed review of RGB-D semantic segmentation according to the ...
CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving Scenes - Danial-Qashqai/CSFNet