Results 21 to 30 of about 44,407 (267)
Enhancing Semantically Masked Transformer With Local Attention for Semantic Segmentation
IEEE Access, 2023 Transformer-based semantic segmentation has been applied to various visual recognition applications and achieved outstanding performance in recent years. Since most of these approaches adopt a pretrained backbone and finetune it for semantic segmentation,
Zhengyu Xia, Joohee Kim
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Semantic Amodal Segmentation [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 major update including new COCO data, metrics, and ...
Yan Zhu 0009 +3 more
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Joint Multiclass Object Detection and Semantic Segmentation for Autonomous Driving
IEEE Access, 2023 Object detection and semantic segmentation are two fundamental problems in autonomous driving systems. As recent studies have illustrated the strong correlation between the two tasks, the joint development of object detection and semantic segmentation ...
Shakhboz Abdigapporov +3 more
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Indoor Scene Understanding Based on Depth-Aware Feature Extraction [PDF]
Jisuanji gongcheng, 2021 The semantic segmentation for indoor scenes can be improved by the joint learning of RGB image features and 3D geometric information from RGB-D domain.However, the traditional segmentation methods require precise depth maps as the inputs, which seriously
CHEN Suting, ZHANG Liangchen
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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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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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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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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
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