Results 21 to 30 of about 58,990 (298)
Semantic Segmentation by Semantic Proportions
, 2023 Semantic segmentation is a critical task in computer vision aiming to identify and classify individual pixels in an image, with numerous applications in for example autonomous driving and medical image analysis. However, semantic segmentation can be highly challenging particularly due to the need for large amounts of annotated data.
Aysel, Halil Ibrahim +2 more
openaire +2 more sources
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
doaj +1 more source
Introspective semantic segmentation [PDF]
IEEE Winter Conference on Applications of Computer Vision, 2014 Traditional approaches for semantic segmentation work in a supervised setting assuming a fixed number of semantic categories and require sufficiently large training sets. The performance of various approaches is often reported in terms of average per pixel class accuracy and global accuracy of the final labeling. When applying the learned models in the
Gautam Singh, Jana Kosecka
openaire +1 more source
Generative Semantic Segmentation
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 To appear at CVPR2023, code at http://github.com/fudan-zvg ...
Chen, Jiaqi +3 more
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
Image Semantic Segmentation Method with Hierarchical Feature Fusion
Jisuanji kexue yu tansuo, 2021 When image feature information extraction is performed by using convolutional networks in the image semantic segmentation, the feature information between levels is not used effectively, resulting in image segmentation accuracy impaired.
ZHAO Xiaoqiang, XU Huiping
doaj +1 more source
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
doaj +1 more source
Survey of Point Cloud Semantic Segmentation Based on Deep Learning
Jisuanji kexue yu tansuo, 2021 In recent years, the popularity of depth sensors and 3D laserscanners has led to a rapid development of 3D point clouds processing methods. Semantic segmentation of point cloud, as a key step in understanding 3D scenes, has attracted extensive attention ...
JING Zhuangwei, GUAN Haiyan, ZANG Yufu, NI Huan, LI Dilong, YU Yongtao
doaj +1 more source