Results 31 to 40 of about 758,831 (346)
Latent space unsupervised semantic segmentation
Frontiers in Physiology, 2023 The development of compact and energy-efficient wearable sensors has led to an increase in the availability of biosignals. To effectively and efficiently analyze continuously recorded and multidimensional time series at scale, the ability to perform ...
Knut J. Strommen +4 more
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Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation [PDF]
European Conference on Computer Vision, 2022 This work considers supervised contrastive learning for semantic segmentation. We apply contrastive learning to enhance the discriminative power of the multi-scale features extracted by semantic segmentation networks. Our key methodological insight is to
Theodoros Pissas +3 more
semanticscholar +1 more source
MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds [PDF]
Journal of WSCG, 2022 Semantic segmentation of 3D point cloud is an essential task for autonomous driving environment perception. The pipeline of most pointwise point cloud semantic segmentation methods includes points sampling, neighbor searching, feature aggregation, and ...
Chuanyu Luo +5 more
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A rapid detection method for UAV-borne high-resolution SAR image targets [PDF]
Zhihui kongzhi yu fangzhen, 2023 Aiming at the limited space and resources of the UAV platform, the inaccurate target labeling and excessive calculation amount of high-resolution SAR image detection, a rapid detection method for UAV-borne high-resolution SAR image targets is proposed ...
WANG Zhongbao, YIN Kuiying
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IET Image Processing, 2023 Iris segmentation is a critical step in the iris recognition system. Since the quality of iris database taken under different camera sensors varies greatly, thus most existing iris segmentation methods are designed for a particular collection device ...
Guang Huo, Dawei Lin, Meng Yuan
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SLViT: Scale-Wise Language-Guided Vision Transformer for Referring Image Segmentation
International Joint Conference on Artificial Intelligence, 2023 Referring image segmentation aims to segment an object out of an image via a specific language expression. The main concept is establishing global visual-linguistic relationships to locate the object and identify boundaries using details of the image ...
Shuyi Ouyang +6 more
semanticscholar +1 more source
The Active Segmentation Platform for Microscopic Image Classification and Segmentation
Brain Sciences, 2021 Image segmentation still represents an active area of research since no universal solution can be identified. Traditional image segmentation algorithms are problem-specific and limited in scope.
Sumit K. Vohra, Dimiter Prodanov
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HT-Net: A Hybrid Transformer Network for Fundus Vessel Segmentation
Sensors, 2022 Doctors usually diagnose a disease by evaluating the pattern of abnormal blood vessels in the fundus. At present, the segmentation of fundus blood vessels based on deep learning has achieved great success, but it still faces the problems of low accuracy ...
Xiaolong Hu, Liejun Wang, Yongming Li
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IEEE Access, 2019 Due to the space inconsistency between benchmark image and segmentation result in many existing semantic segmentation algorithms for abdominal CT images, an improved model based on the basic framework of DeepLab-v3 is proposed, and Pix2pix network is ...
Kaijian Xia +4 more
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AAAI Conference on Artificial Intelligence, 2022 In unconstrained scenarios, face recognition remains challenging, particularly when faces are occluded. Existing methods generalize poorly due to the distribution distortion induced by unpredictable occlusions.
Ge Yuan, Huicheng Zheng, Jiayu Dong
semanticscholar +1 more source