Results 31 to 40 of about 6,093,681 (207)
An automatic skin lesion segmentation system with hybrid FCN-ResAlexNet
Engineering Science and Technology, an International Journal, 2022 Skin cancer is a serious global health concern with high morbidity and mortality rates. Therefore, computer-aided automatic diagnostic systems are essential to diagnose skin lesions successfully.
Sezin Barın, Gür Emre Güraksın
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FD-FCN: 3D Fully Dense and Fully Convolutional Network for Semantic Segmentation of Brain Anatomy
CoRR, 2019 In this paper, a 3D patch-based fully dense and fully convolutional network (FD-FCN) is proposed for fast and accurate segmentation of subcortical structures in T1-weighted magnetic resonance images. Developed from the seminal FCN with an end-to-end learning-based approach and constructed by newly designed dense blocks including a dense fully-connected
Binbin Yang, Weiwei Zhang
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R-FCN: Object Detection via Region-based Fully Convolutional Networks
CoRR, 2016 We present region-based, fully convolutional networks for accurate and efficient object detection. In contrast to previous region-based detectors such as Fast/Faster R-CNN that apply a costly per-region subnetwork hundreds of times, our region-based detector is fully convolutional with almost all computation shared on the entire image.
Jifeng Dai +3 more
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MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 Accepted in CVPR ...
Hao Yang 0033 +3 more
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Fully convolutional network based ship plate recognition [PDF]
, 2018 Ship plate recognition is challenging due to variations of plate locations and text types. This paper proposes an effcient Fully Convolutional Network based Plate Recognition approach FCNPR, which uses a CNN (Convolutional Neural Network) to locate ships,
Liu, X. (Xin) +17 more
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Leida xuebao, 2019 For the fast detection of ships in large-scale remote sensing images, a cascade convolutional neural network is proposed, which is a cascade combination of two Fully Convolutional Neural networks (FCNs), the target FCN for Prescreening (P-FCN), and the ...
CHEN Huiyuan +4 more
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Evidential fully convolutional network for semantic segmentation
, 2021 International audienceWe propose a hybrid architecture composed of a fully convolutional network (FCN) and a Dempster-Shafer layer for image semantic segmentation.
Xu, Philippe +2 more
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Color image splicing localization algorithm by quaternion fully convolutional networks and superpixel-enhanced pairwise conditional random field [PDF]
, 2019 Recently, fully convolutional network (FCN) has been successfully used to locate spliced regions in synthesized images. However, all the existing FCN-based algorithms use real-valued FCN to process each channel separately.
Hong, Xiaopeng +6 more
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