Results 21 to 30 of about 987,911 (296)

Detail Guided Multilateral Segmentation Network for Real-Time Semantic Segmentation

Applied Sciences, 2022
With the development of unmanned vehicles and other technologies, the technical demand for scene semantic segmentation is more and more intense.
Qunyan Jiang, Juying Dai, Ting Rui, Faming Shao, Ruizhe Hu, Yinan Du, Heng Zhang   +6 more
doaj   +1 more source

3D CATBraTS: Channel Attention Transformer for Brain Tumour Semantic Segmentation [PDF]

, 2023
Brain tumour diagnosis is a challenging task yet crucial for planning treatments to stop or slow the growth of a tumour. In the last decade, there has been a dramatic increase in the use of convolutional neural networks (CNN) for their high performance ...
Bonmati Coll, E., Psarrou, A., Villarini, B., El Badaoui, R.   +3 more
core   +1 more source

Semantic Diffusion Network for Semantic Segmentation

Advances in Neural Information Processing Systems 35, 2022
Precise and accurate predictions over boundary areas are essential for semantic segmentation. However, the commonly-used convolutional operators tend to smooth and blur local detail cues, making it difficult for deep models to generate accurate boundary predictions.
Haoru Tan, Sitong Wu, Jimin Pi
openaire   +4 more sources

Deep semantic segmentation of unmanned aerial vehicle remote sensing images based on fully convolutional neural network

Frontiers in Earth Science, 2023
In the era of artificial intelligence and big data, semantic segmentation of images plays a vital role in various fields, such as people’s livelihoods and the military.
Guoxun Zheng, Guoxun Zheng, Guoxun Zheng, Zhengang Jiang, Hua Zhang, Hua Zhang, Hua Zhang, Xuekun Yao, Xuekun Yao   +8 more
doaj   +1 more source

Boosting Semantic Segmentation with Semantic Boundaries

CoRR, 2023
28 pages, Code available at https://github.com/haruishi43 ...
Haruya Ishikawa, Yoshimitsu Aoki
openaire   +3 more sources

A Performance Improvement Strategy for Concrete Damage Detection Using Stacking Ensemble Learning of Multiple Semantic Segmentation Networks

Sensors, 2022
Semantic segmentation network-based methods can detect concrete damage at the pixel level. However, the performance of a single semantic segmentation network is often limited.
Shengyuan Li, Xuefeng Zhao
doaj   +1 more source

Semantic Amodal Segmentation [PDF]

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
major update including new COCO data, metrics, and ...
Yan Zhu 0009, Yuandong Tian, Dimitris N. Metaxas, Piotr Dollár   +3 more
openaire   +3 more sources

Enhancing Semantically Masked Transformer With Local Attention for Semantic Segmentation

IEEE Access, 2023
Transformer-based semantic segmentation has been applied to various visual recognition applications and achieved outstanding performance in recent years. Since most of these approaches adopt a pretrained backbone and finetune it for semantic segmentation,
Zhengyu Xia, Joohee Kim
doaj   +1 more source

Joint Multiclass Object Detection and Semantic Segmentation for Autonomous Driving

IEEE Access, 2023
Object detection and semantic segmentation are two fundamental problems in autonomous driving systems. As recent studies have illustrated the strong correlation between the two tasks, the joint development of object detection and semantic segmentation ...
Shakhboz Abdigapporov, Shokhrukh Miraliev, Vijay Kakani, Hakil Kim   +3 more
doaj   +1 more source

Indoor Scene Understanding Based on Depth-Aware Feature Extraction [PDF]

Jisuanji gongcheng, 2021
The semantic segmentation for indoor scenes can be improved by the joint learning of RGB image features and 3D geometric information from RGB-D domain.However, the traditional segmentation methods require precise depth maps as the inputs, which seriously
CHEN Suting, ZHANG Liangchen
doaj   +1 more source