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Zeyang Zhang, Zhongcai Pei, Zhiyong Tang and Fei Gu
Traditional video object segmentation often has low detection speed and inaccurate results due to the jitter caused by the pan-and-tilt or hand-held devices. Deep neural network (DNN) has been widely adopted to address these problems; however, it relies ...
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Jean-Jacques Ponciano, Moritz Roetner, Alexander Reiterer and Frank Boochs
Through the power of new sensing technologies, we are increasingly digitizing the real world. However, instruments produce unstructured data, mainly in the form of point clouds for 3D data and images for 2D data. Nevertheless, many applications (such as ...
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Ozgun Akcay, Emin Ozgur Avsar, Melis Inalpulat, Levent Genc and Ahmet Cam
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Li Chen, Qing Zhu, Xiao Xie, Han Hu and Haowei Zeng
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Kui Zeng, Shutan Xu, Daode Shu and Ming Chen
Medaka (Oryzias latipes), as a crucial model organism in biomedical research, holds significant importance in fields such as cardiovascular diseases. Currently, the analysis of the medaka ventricle relies primarily on visual observation under a microscop...
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Yunzhuo Liu, Chunjiang Wu, Yuting Zeng, Keyu Chen and Shijie Zhou
Artificial Intelligence has been widely applied in intelligent transportation systems. In this work, Swin-APT, a deep learning-based approach for semantic segmentation and object detection in intelligent transportation systems is presented. Swin-APT incl...
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Rongke Wei, Anyang Song, Huixian Duan and Haodong Pei
With the development of space technology, deep learning methods, with their excellent generalization ability, are increasingly applied in various space activities. The space object data is difficult to obtain, which greatly limits its application in spac...
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Xin Chen, Peng Shi and Yi Hu
Semantic segmentation methods have been successfully applied in seabed sediment detection. However, fast models like YOLO only produce rough segmentation boundaries (rectangles), while precise models like U-Net require too much time. In order to achieve ...
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Vasileios Moysiadis, Georgios Kokkonis, Stamatia Bibi, Ioannis Moscholios, Nikolaos Maropoulos and Panagiotis Sarigiannidis
Mushrooms contain valuable nutrients, proteins, minerals, and vitamins, and it is suggested to include them in our diet. Many farmers grow mushrooms in restricted environments with specific atmospheric parameters in greenhouses. In addition, recent techn...
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Lingfeng Huang, Jieyu Zhao and Yu Chen
3D mesh as a complex data structure can provide effective shape representation for 3D objects, but due to the irregularity and disorder of the mesh data, it is difficult for convolutional neural networks to be directly applied to 3D mesh data processing....
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Yichao Gao, Hetong Wang, Man Li and Wen-Hao Su
Fusarium head blight (FHB) disease reduces wheat yield and quality. Breeding wheat varieties with resistance genes is an effective way to reduce the impact of this disease. This requires trained experts to assess the disease resistance of hundreds of whe...
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Fei Liu, Jiayao Shan, Binyu Xiong and Zheng Fang
This paper presents a real-time and multi-sensor-based landing area recognition system for UAVs, which aims to enable UAVs to land safely on open and flat terrain and is suitable for comprehensive unmanned autonomous operation. The landing area recogniti...
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Sunguk Jung, Hyeonbeom Heo, Sangheon Park, Sung-Uk Jung and Kyungjae Lee
Instance segmentation has gained attention in various computer vision fields, such as autonomous driving, drone control, and sports analysis. Recently, many successful models have been developed, which can be classified into two categories: accuracy- and...
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Yijie Jiao, Xiaohua Wang, Wenjie Wang and Shuang Li
Deep learning has been widely used in various fields because of its accuracy and efficiency. At present, the improvement of image semantic segmentation accuracy has become the area of most concern. In terms of increasing accuracy, improved semantic segme...
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Hyobin Sunwoo, Wonjun Choi, Seunguk Na, Cheekyeong Kim and Seokjae Heo
As reconstruction and redevelopment accelerate, the generation of construction waste increases, and construction waste treatment technology is being developed accordingly, especially using artificial intelligence (AI). The majority of AI research project...
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Jun Wang, Lili Jiang, Qingwen Qi and Yongji Wang
Image segmentation is of significance because it can provide objects that are the minimum analysis units for geographic object-based image analysis (GEOBIA). Most segmentation methods usually set parameters to identify geo-objects, and different paramete...
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Feng Sun, Ajith Kumar V, Guanci Yang, Ansi Zhang and Yiyun Zhang
State-of-the-art semantic segmentation methods rely too much on complicated deep networks and thus cannot train efficiently. This paper introduces a novel Circle-U-Net architecture that exceeds the original U-Net on several standards. The proposed model ...
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Giuseppe Masetti, Larry Alan Mayer and Larry Guy Ward
A robust and flexible technique to segment seafloor acoustic mapping data by analyzing co-located bathymetric digital elevation models and acoustic backscatter mosaics is presented. The algorithm first uses principles of topographic openness, pattern rec...
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Giuseppe Masetti, Larry Alan Mayer and Larry Guy Ward
A robust and flexible technique to segment seafloor acoustic mapping data by analyzing co-located bathymetric digital elevation models and acoustic backscatter mosaics is presented. The algorithm first uses principles of topographic openness, pattern rec...
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Deepank Verma, Arnab Jana and Krithi Ramamritham
The assessments on human perception of urban spaces are essential for the management and upkeep of surroundings. A large part of the previous studies is dedicated towards the visual appreciation and judgement of various physical features present in the s...
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