Results 11 to 20 of about 151,952 (268)
Dynamic Video Segmentation Network [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 In this paper, we present a detailed design of dynamic video segmentation network (DVSNet) for fast and efficient semantic video segmentation. DVSNet consists of two convolutional neural networks: a segmentation network and a flow network. The former generates highly accurate semantic segmentations, but is deeper and slower.
Yu-Syuan Xu +3 more
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Binarized Encoder-Decoder Network and Binarized Deconvolution Engine for Semantic Segmentation
IEEE Access, 2021 Recently, semantic segmentation based on deep neural network (DNN) has attracted attention as it exhibits high accuracy, and many studies have been conducted on this.
Hyunwoo Kim +4 more
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DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation
, 2023 Colorectal cancer (CRC) is the second leading cause of cancer-related death worldwide. Excision of polyps during colonoscopy helps reduce mortality and morbidity for CRC. Powered by deep learning, computer-aided diagnosis (CAD) systems can detect regions in the colon overlooked by physicians during colonoscopy. Lacking high accuracy and real-time speed
Nikhil Kumar Tomar +2 more
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An Efficient Polyp Segmentation Network
2022 30th Signal Processing and Communications Applications Conference (SIU), 2022 Cancer is a disease that occurs as a result of the uncontrolled division and proliferation of cells. Colon cancer is one of the most common types of cancer in the world. Polyps that can be seen in the large intestine can cause cancer if not removed with early intervention.
Tugberk Erol, Duygu Sarikaya
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Pseudo-Label-Free Weakly Supervised Semantic Segmentation Using Image Masking
IEEE Access, 2022 Weakly-supervised semantic segmentation (WSSS) aims to train a semantic segmentation network using weak labels. Recent approaches generate the pseudo-label from the image-level label and then exploit it as a pixel-level supervision in the segmentation ...
Sangtae Kim +4 more
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Semantic Segmentation of Medical Images Based on Runge–Kutta Methods
Bioengineering, 2023 In recent years, deep learning has achieved good results in the semantic segmentation of medical images. A typical architecture for segmentation networks is an encoder–decoder structure.
Mai Zhu, Chong Fu, Xingwei Wang
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UCaps Network Based on EM-Routing Algorithm for Medical Image Segmentation [PDF]
Jisuanji gongcheng, 2022 The existing medical image segmentation networks are limited in segmentation accuracy, and often lose image information as well as produce vague segmentation boundary.In this paper, we propose a multi-label image segmentation network named UCaps, which ...
WANG Wenxin, HE Yuhang, CHEN Gang
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IET Smart Grid, 2019 The use of battery energy storage system (BESS) is one of the methods employed in solving the major challenge of overvoltage, experienced on distribution networks with high penetration of photovoltaics (PV). The overvoltage problem limits the penetration
Obinna Unigwe +2 more
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Image reconstruction techniques using deep learning quality segmentation [PDF]
MATEC Web of ConferencesTranslational CT (TCT), in developing nations, a low-end computed tomography (CT) technology are relatively common. The limited-angle TCT scanning mode is often used with large-angle scanning to scan items within a narrow angular range, reduce X-ray ...
Rajya Lakshmi Adidela +5 more
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Multi-Scale Deep Neural Network Based on Dilated Convolution for Spacecraft Image Segmentation
Sensors, 2022 In recent years, image segmentation techniques based on deep learning have achieved many applications in remote sensing, medical, and autonomous driving fields.
Yuan Liu +5 more
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