Results 31 to 40 of about 12,457,928 (304)

Dual-Pyramid Wide Residual Network for Semantic Segmentation on Cross-Style Datasets

Information, 2023
Image segmentation is the process of partitioning an image into multiple segments where the goal is to simplify the representation of the image and make the image more meaningful and easier to analyze.
Guan-Ting Shen, Yin-Fu Huang
doaj   +1 more source

Semantic Segmentation Algorithm Combined with Edge Detection [PDF]

Jisuanji gongcheng, 2021
To address the fuzzy and inaccurate target edges in semantic segmentation,a semantic segmentation network combined with edge detection is proposed.The network consists of an edge detection network and a semantic segmentation network.The edge detection ...
WANG Nan, HOU Zhiqiang, ZHAO Mengqi, YU Wangsheng, MA Sugang
doaj   +1 more source

Real-time semantic clothing segmentation [PDF]

, 2012
Clothing segmentation is a challenging field of research which is rapidly gaining attention. This paper presents a system for semantic segmentation of primarily monochromatic clothing and printed/stitched textures in single images or live video.
Cushen, George, Nixon, Mark S.
core   +2 more sources

Learning a Robust Hybrid Descriptor for Robot Visual Localization

Journal of Robotics, 2022
Long-term robust visual localization is one of the main challenges of long-term visual navigation for mobile robots. Due to factors such as illumination, weather, and season, mobile robots continuously navigate with visual information in a complex scene,
Qingwu Shi, Junjun Wu, Zeqin Lin, Ningwei Qin   +3 more
doaj   +1 more source

Incremental Learning Techniques for Part-Based Semantic Segmentation [PDF]

, 2022
In this work we use an Incremental Learning approach to try to develop a model for the Part-Based Semantic Segmentation. Our framework uses two networks where the second one is fed with the output of the first.
Rossi, Luca
core  

Deep Semantic Segmentation of Angiogenesis Images

International Journal of Molecular Sciences, 2023
Angiogenesis is the development of new blood vessels from pre-existing ones. It is a complex multifaceted process that is essential for the adequate functioning of human organisms. The investigation of angiogenesis is conducted using various methods.
Alisher Ibragimov, Sofya Senotrusova, Kseniia Markova, Evgeny Karpulevich, Andrei Ivanov, Elizaveta Tyshchuk, Polina Grebenkina, Olga Stepanova, Anastasia Sirotskaya, Anastasiia Kovaleva, Arina Oshkolova, Maria Zementova, Viktoriya Konstantinova, Igor Kogan, Sergey Selkov, Dmitry Sokolov   +15 more
openaire   +2 more sources

Using Multiple Segmentations for Image Auto-Annotation [PDF]

, 2007
Automatic image annotation techniques that try to identify the objects in images usually need the images to be segmented first, especially when specifically annotating image regions.
Lewis, Paul, Tang, Jiayu, Paul H. Lewis, Jiayu Tang   +3 more
core   +2 more sources

A Dynamic Effective Class Balanced Approach for Remote Sensing Imagery Semantic Segmentation of Imbalanced Data

Remote Sensing, 2023
The wide application and rapid development of satellite remote sensing technology have put higher requirements on remote sensing image segmentation methods.
Zheng Zhou, Change Zheng, Xiaodong Liu, Ye Tian, Xiaoyi Chen, Xuexue Chen, Zixun Dong   +6 more
doaj   +1 more source

Multi-Pooling Context Network for Image Semantic Segmentation

, 2023
With the development of image segmentation technology, image context information plays an increasingly important role in semantic segmentation. However, due to the complexity of context information in different feature maps, simple context capture ...
Zhiqiang Jiang, Lintao Zheng, Yongsheng Dong, Boshi Zheng, Qing Liu, Yuanhua Pei, Zhumu Fu   +6 more
core   +1 more source

Semantic Segmentation For Aerial Images

International Journal of Research Publication and Reviews
Semantic segmentation of aerial imagery plays a critical role in modern urban planning, environmental monitoring, and the development of smart cities. This project presents an interactive webbased application that performs semantic segmentation on high-resolution aerial images using a deep learning-based U-Net model.
Dr. B. Harika, M. Bharath, K. Himneesh
openaire   +2 more sources