Results 31 to 40 of about 44,407 (267)
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
Progressive Adversarial Semantic Segmentation [PDF]
2020 25th International Conference on Pattern Recognition (ICPR), 2021 9 pages, 5 figures, 12 ...
Abdullah-Al-Zubaer Imran +1 more
openaire +2 more sources
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
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 +2 more sources
Convolutional neural network-based automated segmentation and labeling of the lumbar spine X-ray
Journal of Craniovertebral Junction and Spine, 2021 Purpose: This study investigated the segmentation metrics of different segmentation networks trained on 730 manually annotated lateral lumbar spine X-rays to test the generalization ability and robustness which are the basis of clinical decision support ...
Sandor Konya +5 more
doaj +1 more source
Semantic scene segmentation for robotics
, 2022 Comprehensive scene understanding is a critical enabler of robot autonomy. Semantic segmentation is one of the key scene understanding tasks which is pivotal for several robotics applications including autonomous driving, domestic service robotics, last mile delivery, amongst many others.
Juana Valeria Hurtado, Abhinav Valada
openaire +2 more sources
SeMask: Semantically Masked Transformers for Semantic Segmentation
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023 Finetuning a pretrained backbone in the encoder part of an image transformer network has been the traditional approach for the semantic segmentation task. However, such an approach leaves out the semantic context that an image provides during the encoding stage.
Jitesh Jain +6 more
openaire +2 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Key objects’ semantic segmentation and power line extraction from the electric power corridor point cloud are critical steps in power line inspection.
Xiuning Liu +5 more
doaj +1 more source
CLIP for Lightweight Semantic Segmentation
, 2023 The large-scale pretrained model CLIP, trained on 400 million image-text pairs, offers a promising paradigm for tackling vision tasks, albeit at the image level. Later works, such as DenseCLIP and LSeg, extend this paradigm to dense prediction, including semantic segmentation, and have achieved excellent results.
Ke Jin, Wankou Yang
openaire +2 more sources
Parallel Fully Convolutional Network for Semantic Segmentation
IEEE Access, 2021 Fully convolutional networks (FCNs) have been widely applied for dense classification tasks such as semantic segmentation. As a large number of works based on FCNs are proposed, various semantic segmentation models have been improved significantly ...
Jian Ji +5 more
doaj +1 more source