Results 51 to 60 of about 987,911 (296)

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

Federated Incremental Semantic Segmentation

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Accepted to ...
Jiahua Dong 0001, Duzhen Zhang, Yang Cong, Wei Cong, Henghui Ding, Dengxin Dai   +5 more
openaire   +4 more sources

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

Satellite Image Semantic Segmentation

CoRR, 2021
8 pages, 3 ...
Guérin, Eric, Oechslin, Killian, Wolf, Christian, Martinez, Benoît   +3 more
openaire   +4 more sources

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

QIMERA: a software platform for video object segmentation and tracking [PDF]

, 2003
In this paper we present an overview of an ongoing collaborative project in the field of video object segmentation and tracking. The objective of the project is to develop a flexible modular software architecture that can be used as test-bed for ...
Murphy, Noel, O'Connor, Noel E., Sav, Sorin Vasile, Marlow, Seán, Adamek, Tomasz, O\u27Connor, Noel E., T. ADAMEK, S. MARLOW, N. MURPHY, S. SAV, N. O’CONNOR   +10 more
core   +2 more sources

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