Results 11 to 20 of about 24,548 (256)
Image Semantic Segmentation Method with Fusion of Transposed Convolution and Deep Residual [PDF]
Jisuanji kexue yu tansuo, 2022 Aiming at the problems of low segmentation accuracy and high loss of deep learning image semantic segmentation methods, image semantic segmentation method with fusion of transposed convolution and deep residual is proposed. Firstly, in order to solve the
LIU Lamei, WANG Xiaona, LIU Wanjun, QU Haicheng
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Semantic Segmentation Algorithm Based on Attention Mechanism and Auxiliary Task [PDF]
Jisuanji gongcheng, 2021 When applied to semantic segmentation, the existing convolutional neural network models suffer from the low dispersion of low-level features, and thus reduce the performance of semantic segmentation algorithms.To address the problem, a basic fully ...
YE Jianfeng, XU Ke, XIONG Junfeng, WANG Huaming
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On Calibrating Semantic Segmentation Models: Analyses and An Algorithm
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Accepted to CVPR-2023 (8 pages, 4 figures)
Dongdong Wang +2 more
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Semantic Segmentation Algorithm Based on Dense Connection and Feature Enhancement [PDF]
Jisuanji gongcheng, 2023 In the semantic segmentation algorithm, DeepLabv3+, problems such as discontinuity, target loss, and segmentation errors exist owing to the insufficient utilization of feature information extracted by the backbone network.
MA Sugang, CHEN Qimei, HOU Zhiqiang, YANG Xiaobao, ZHANG Zixian
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High precision semantic segmentation based on multi-level feature fusion
Xi'an Gongcheng Daxue xuebao, 2021 In order to solve the problems of fuzzy edge segmentation and imprecise segmentation of small objects in image semantic segmentation, a high-precision semantic segmentation method was proposed.
Xiaohua WANG +3 more
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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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Leather Defect Segmentation Using Semantic Segmentation Algorithms
Journal of Artificial Intelligence and Capsule Networks, 2022 Leather is one of the essential materials in our life. It can be used widely to make different industrial products. Products made from leather are strong, expensive and durable which lasts for decades. So, It is very important for the industry to make a defect free product for their maximum profit and good customer feedback.
Aashish Ghimire +5 more
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A Semantic Information-Based Optimized vSLAM in Indoor Dynamic Environments
Applied Sciences, 2023 In unknown environments, mobile robots can use visual-based Simultaneous Localization and Mapping (vSLAM) to complete positioning tasks while building sparse feature maps and dense maps.
Shuangfeng Wei +5 more
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Two-Stage Segmentation Algorithm of High Resolution Skin Melanoma Image [PDF]
Jisuanji gongcheng, 2023 Skin melanoma imaging faces a few challengesthe required resolution is often large, the pathological features of skin melanoma are diverse, and many segmentation algorithms are not sufficiently accurate and require huge amounts of GPU memory.
Xiangquan GUI, Xinyue ZHANG, Li LI
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Evaluation of deep learning algorithms for semantic segmentation of car parts [PDF]
Complex & Intelligent Systems, 2021 AbstractEvaluation of car damages from an accident is one of the most important processes in the car insurance business. Currently, it still needs a manual examination of every basic part. It is expected that a smart device will be able to do this evaluation more efficiently in the future.
Kitsuchart Pasupa +3 more
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