Results 51 to 60 of about 1,037,857 (302)

Parallel Fully Convolutional Network for Semantic Segmentation

IEEE Access, 2021
Fully convolutional networks (FCNs) have been widely applied for dense classification tasks such as semantic segmentation. As a large number of works based on FCNs are proposed, various semantic segmentation models have been improved significantly ...
Jian Ji, Xiaocong Lu, Mai Luo, Minghui Yin, Qiguang Miao, Xiangzeng Liu   +5 more
doaj   +1 more source

Real-Time Semantic Understanding and Segmentation of Urban Scenes for Vehicle Visual Sensors by Optimized DCNN Algorithm

Applied Sciences, 2022
The modern urban environment is becoming more and more complex. In helping us identify surrounding objects, vehicle vision sensors rely more on the semantic segmentation ability of deep learning networks.
Yanyi Li, Jian Shi, Yuping Li
doaj   +1 more source

An unsupervised semantic segmentation method that combines the ImSE-Net model with SLICm superpixel optimization

International Journal of Digital Earth
In the field of remote sensing, using a large amount of labeled image data to supervise the training of fully convolutional networks for the semantic segmentation of images is expensive.
Zenan Yang, Haipeng Niu, Xiaoxuan Wang, Liang Huang, Kui Yang   +4 more
doaj   +1 more source

Meta-Seg: A Generalized Meta-Learning Framework for Multi-Class Few-Shot Semantic Segmentation

IEEE Access, 2019
Semantic segmentation performs pixel-wise classification for given images, which can be widely used in autonomous driving, robotics, medical diagnostics and etc.
Zhiying Cao, Tengfei Zhang, Wenhui Diao, Yue Zhang, Xiaode Lyu, Kun Fu, Xian Sun   +6 more
doaj   +1 more source

Adversarial Learning Strategies for Semantic Segmentation [PDF]

, 2022
Semantic image segmentation is a computer vision task in which we label specific regions of an image according to their semantic content. This task is of essential importance for a wide range of applications like robotics, autonomous driving, medicine ...
Biasetton, Matteo
core  

Research on Semantic Segmentation Algorithm for Infrared Moving Targets in Complex Backgrounds [PDF]

Hangkong bingqi
The semantic segmentation of infrared weak targets relies more on detailed texture features, and deeper network architecture are not suitable for semantic segmentation of infrared targets, making it difficult to accurately segment weak targets from ...
Ji Haoyu, Meng Weihua, Zhang Xinchao, Duan Jingfei, Zhang Meng
doaj   +1 more source

High precision semantic segmentation based on multi-level feature fusion

Xi'an Gongcheng Daxue xuebao, 2021
In order to solve the problems of fuzzy edge segmentation and imprecise segmentation of small objects in image semantic segmentation, a high-precision semantic segmentation method was proposed.
Xiaohua WANG, Zhenxing YE, Wenjie WANG, Lei ZHANG   +3 more
doaj   +1 more source

Semantic Segmentation from RGBD Data in the Autonomous Driving Context

, 2022
reservedOne of the most challenging problems in the field of Computer Vision is Semantic Segmentation, an high level task which assigns class labels to each pixel, producing a dense output map where each pixel is classified according to its semantic ...
ROSSETTO, LORENZO
core  

Semantic Segmentation Method for Sparse Point Clouds Based on Straight Flow Completion and Multi-Feature Fusion

Sensors
Point cloud semantic segmentation is a vital task in 3D computer vision. However, the inherent sparsity of point clouds complicates the segmentation process.
Tong Zheng, Zhiyuan Meng, Chongchong Yu, Tao Xie, Yewang Xu   +4 more
doaj   +1 more source

ERN: Edge Loss Reinforced Semantic Segmentation Network for Remote Sensing Images

Remote Sensing, 2018
The semantic segmentation of remote sensing images faces two major challenges: high inter-class similarity and interference from ubiquitous shadows. In order to address these issues, we develop a novel edge loss reinforced semantic segmentation network ...
Shuo Liu, Wenrui Ding, Chunhui Liu, Yu Liu, Yufeng Wang, Hongguang Li   +5 more
doaj   +1 more source