Search Results - "semantic segmentation algorithm"

Benchmark Analysis of Semantic Segmentation Algorithms for Safe Planetary Landing Site Selection by Claudet, Thomas, Tomita, Kento, Ho, Koki

“…This paper presents an in-depth analysis of state-of-the-art semantic segmentation algorithms applied to spacecraft safe planetary landing via hazard detection and avoidance…”
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Fully Convolutional Encoder-Decoder With an Attention Mechanism for Practical Pedestrian Trajectory Prediction by Chen, Kai, Song, Xiao, Yuan, Haitao, Ren, Xiaoxiang

“…: a) Most of them rely on manual annotations to obtain information about the environment surrounding the subject pedestrian, which limits practical applications; b…”
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Comprehensive full-vessel segmentation and volumetric plaque quantification for intracoronary optical coherence tomography using deep learning by Volleberg, Rick H J A, van der Waerden, Ruben G A, Luttikholt, Thijs J, van der Zande, Joske L, Cancian, Pierandrea, Gu, Xiaojin, Mol, Jan-Quinten, Quax, Silvan, Prokop, Mathias, Sánchez, Clara I, van Ginneken, Bram, Išgum, Ivana, Thannhauser, Jos, Saitta, Simone, Nishimiya, Kensuke, Roleder, Tomasz, van Royen, Niels

“… The aim of this study was to develop and validate a deep learning-based multiclass semantic segmentation algorithm for OCT (OCT-AID…”
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A Real-Time Image Semantic Segmentation Method Based on Multilabel Classification by Jin, Ran, Han, Xiaozhen, Yu, Tongrui

“…, the image semantic segmentation algorithm based on deep learning framework has been brought under the spotlight of development…”
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Multi-class multimodal semantic segmentation with an improved 3D fully convolutional networks by Jiang, Han, Guo, Yanrong

“… In this paper, we propose a multi-class semantic segmentation algorithm based on the 3D fully convolutional networks, exploring the multimodal image blocks…”
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Proposal for a Local Database: Segmentation and Classification Algorithm by Tall, Marc Momar, Ngom, Ibrahima, Sadio, Ousmane, Diadne, Ibrahima

“… Consequently, a local database adapted to the objectives of the survey is lacking. In this paper, we have proposed a semantic segmentation algorithm that tends towards intelligent systems for collecting artisanal fisheries catches. Data are collected by taking images of caught fish and on Fishbase. The collected data applied to the algorithm allowed us to obtain a set of segmented data with the masks of the images which constitutes our local database…”
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Coping with Limited Data: Machine-Learning-Based Image Understanding Applications to Fashion and Inkjet Imagery by Li, Zhi

“…Machine learning has been revolutionizing our approach to image understanding problems. However, due to the unique nature of the problem, finding suitable data…”
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RDAU-Net: A U-Shaped Semantic Segmentation Network for Buildings near Rivers and Lakes Based on a Fusion Approach by Wang, Yipeng, Wang, Dongmei, Xu, Teng, Shi, Yifan, Liang, Wenguang, Wang, Yihong, Petropoulos, George P., Bao, Yansong

“…The encroachment of buildings into the waters of rivers and lakes can lead to increased safety hazards, but current semantic segmentation algorithms have difficulty accurately segmenting buildings in such environments…”
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Border-Enhanced Triple Attention Mechanism for High-Resolution Remote Sensing Images and Application to Land Cover Classification by Wang, Guoying, Chen, Jiahao, Mo, Lufeng, Wu, Peng, Yi, Xiaomei

“…With the continuous development and popularization of remote sensing technology, remote sensing images have been widely used in the field of land cover…”
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Semantic Segmentation of High-Resolution Airborne Images with Dual-Stream DeepLabV3 by Akcay, Ozgun, Kinaci, Ahmet Cumhur, Avsar, Emin Ozgur, Aydar, Umut

“… When the significant semantic segmentation algorithms are considered, DeepLabV3+ stands out as a state-of-the-art CNN…”
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YOLOMask, an Instance Segmentation Algorithm Based on Complementary Fusion Network by Hua, Jiang, Hao, Tonglin, Zeng, Liangcai, Yu, Gui

“… is subject to many limitations. With the development of neural network technology, semantic segmentation algorithms based on deep learning can obtain the category information of each pixel…”
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Semi-synthetic Data Generation for Tattoo Segmentation by Gonzalez-Soler, Lazaro J., Rathgeb, Christian, Fischer, Daniel

“… In our work, we propose a new unsupervised generator that allows generating a large number of semi-synthetic images with tattooed subjects…”
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Développement d’outils d’intelligence artificielle pour la caractérisation de lames histologiques marquées par nanoparticules plasmoniques by Fillion, Julien

“… Sadly, the current method is subjective and extremely reliant on the pathologist’s evaluation of the sample…”
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