Results 21 to 30 of about 32,830 (265)
ATLANTIS: A benchmark for semantic segmentation of waterbody images [PDF]
Vision-based semantic segmentation of waterbodies and nearby related objects provides important information for managing water resources and handling flooding emergency. However, the lack of large-scale labeled training and testing datasets for water-related categories prevents researchers from studying water-related issues in the computer vision field.
Seyed Mohammad Hassan Erfani +4 more
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WAILS: Watershed Algorithm With Image-Level Supervision for Weakly Supervised Semantic Segmentation
Image semantic segmentation has great development in many fields, and the lack of fully supervised segmentation labels has always been a major problem in the development of image semantic segmentation.
Hongming Zhou +4 more
doaj +1 more source
Semantic Segmentation of Seismic Images
Almost all work to understand Earth's subsurface on a large scale relies on the interpretation of seismic surveys by experts who segment the survey (usually a cube) into layers; a process that is very time demanding. In this paper, we present a new deep neural network architecture specially designed to semantically segment seismic images with a minimal
Daniel Civitarese +3 more
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Graph-FCN for Image Semantic Segmentation [PDF]
Semantic segmentation with deep learning has achieved great progress in classifying the pixels in the image. However, the local location information is usually ignored in the high-level feature extraction by the deep learning, which is important for image semantic segmentation.
Yi Lu +3 more
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Semantic Segmentation Algorithm Combined with Edge Detection [PDF]
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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Deep Semantic Segmentation of Angiogenesis Images
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 +15 more
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Scene-Aware Deep Networks for Semantic Segmentation of Images
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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Image semantic segmentation method based on GAN network and ERFNet model
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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Dual-Pyramid Wide Residual Network for Semantic Segmentation on Cross-Style Datasets
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 a Robust Hybrid Descriptor for Robot Visual Localization
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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