Results 31 to 40 of about 987,911 (296)
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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GroupPrompter: A Prompting Method for Semantic Segmentation Based on SAM
IEEE Access, 2023 The SAM shows remarkable generalization and transformable capabilities for category-agnostic segmentation. Although the semantics in latent space are explored slightly, more researches are working on instance segmentation.
Yichuang Luo +3 more
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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
Point Cloud Semantic Segmentation Method Based on Block Feature Fusion [PDF]
Jisuanji gongcheng, 2022 A semantic segmentation method integrating block features is proposed to reduce the computational complexity of semantic segmentation of multi-class 3D objects in outdoor large-scale point cloud scenes.The square grid segmentation method is used to ...
GAO Qingji, LI Tianhao, XING Zhiwei, LIU Peipei
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Deep Networks and Random Forests for Semantic Segmentation on 3D Data [PDF]
, 2022 This work focus on semantic segmentation over 3D data,firstly by research and study of the state of the art, then by developing methods to transfer features between FuseNet and 3D Entangled Forests.We were able to obtain meaningful insights with regards ...
Bonetto, Elia
core
, 2006 In the context of the Semantic Web, many ontology-related operations, e.g. ontology ranking, segmentation, alignment, articulation, reuse, evaluation, can be boiled down to one fundamental operation: computing the similarity and/or dissimilarity among ...
Kalfoglou, Yannis +5 more
core +2 more sources
Diagnostics in Semantic Segmentation
CoRR, 2018 Over the past years, computer vision community has contributed to enormous progress in semantic image segmentation, a per-pixel classification task, crucial for dense scene understanding and rapidly becoming vital in lots of real-world applications, including driverless cars and medical imaging.
Nekrasov, V., Shen, C., Reid, I.D.
openaire +3 more sources
Journal of Information Technology Research, 2023 Semantic segmentation was traditionally performed using primitive methods; however, in recent times, a significant growth in the advancement of deep learning techniques for the same is observed. In this paper, an extensive study and review of the existing deep learning (DL)-based techniques used for the purpose of semantic segmentation is carried out ...
null Aakanksha +2 more
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Attention-Based Joint Semantic-Instance Segmentation of 3D Point Clouds
Advances in Electrical and Computer Engineering, 2022 In this paper, we propose an attention-based instance and semantic segmentation joint approach, termed ABJNet, for addressing the instance and semantic segmentation of 3D point clouds simultaneously.
HAO, W. +4 more
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IEEE Access, 2023 As a critical step in 3D scene understanding, semantic segmentation of point clouds has broad application scenarios, including intelligent driving, augmented reality, smart factories, etc.
Ansi Zhang +4 more
doaj +1 more source