Results 41 to 50 of about 147,704 (285)
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
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Pixelated Semantic Colorization [PDF]
, 2019 While many image colorization algorithms have recently shown the capability of producing plausible color versions from gray-scale photographs, they still suffer from limited semantic understanding.
Han, Jungong +3 more
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Scene-Aware Deep Networks for Semantic Segmentation of Images
IEEE Access, 2019 Scene classification and semantic segmentation are two important research directions in computer vision. They are widely used in the research of automatic driving and human–computer interaction.
Zhike Yi +5 more
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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 +3 more
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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
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Learning to Exploit the Prior Network Knowledge for Weakly-Supervised Semantic Segmentation [PDF]
, 2019 Training a Convolutional Neural Network (CNN) for semantic segmentation typically requires to collect a large amount of accurate pixel-level annotations, a hard and expensive task. In contrast, simple image tags are easier to gather.
Baptista-Ríos, Marcos +2 more
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Semantic Image Segmentation Using Transformers
, 2023 Abstract Since the development of deep learning, FCNNs—particularly "U-shaped" encoder-decoder architectures—have excelled at various medical semantic segmentation tasks. For the bulk of medical picture segmentation applications during the past ten years, Fully Convolutional Neural Networks (FCNNs) with contracting and expanding paths have ...
SAI KRISHNA DOPPALAPUDI, SUPREETHI K. P
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Semantic Image Segmentation: Two Decades of Research
Foundations and Trends® in Computer Graphics and Vision, 2022 Semantic image segmentation (SiS) plays a fundamental role in a broad variety of computer vision applications, providing key information for the global understanding of an image. This survey is an effort to summarize two decades of research in the field of SiS, where we propose a literature review of solutions starting from early historical methods ...
Csurka, Gabriela +2 more
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Image semantic segmentation method based on GAN network and ERFNet model
The Journal of Engineering, 2021 This article addresses the problems of traditional methods in image semantic segmentation, such as insufficient segmentation of small‐scale targets and weak anti‐noise ability.
Chaoxian Dong
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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 +6 more
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