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Rujia Li, Yadong Li, Weibo Qin, Arzlan Abbas, Shuang Li, Rongbiao Ji, Yehui Wu, Yiting He and Jianping Yang
This research tackles the intricate challenges of detecting densely distributed maize leaf diseases and the constraints inherent in YOLO-based detection algorithms. It introduces the GhostNet_Triplet_YOLOv8s algorithm, enhancing YOLO v8s by integrating t...
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Meng Wu, Tingting Jiang, Chenyang Bu and Bin Zhu
Entity alignment (EA) aims to automatically determine whether an entity pair in different knowledge bases or knowledge graphs refer to the same entity in reality. Inspired by human cognitive mechanisms, we propose a coarse-to-fine entity alignment model ...
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Han Zhou, Xiaoling Yang, Zhongqi Wang, Jie Zhang, Yinchao Du, Jiangpeng Chen and Xuezhe Zheng
Since tiny optical glass is the key component in various optical instruments, more and more researchers have paid attention to automatic defect detection on tiny optical glass in recent years. It remains a challenging problem, as the defects are extremel...
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Wenmin Yao, Tong Chu, Wenlong Tang, Jingyu Wang, Xin Cao, Fengjun Zhao, Kang Li, Guohua Geng and Mingquan Zhou
As one of China's most precious cultural relics, the excavation and protection of the Terracotta Warriors pose significant challenges to archaeologists. A fairly common situation in the excavation is that the Terracotta Warriors are mostly found in the f...
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Jinho Park, Heegwang Kim and Joonki Paik
In this paper, we present a coarse-to-fine convolutional neural network (CF-CNN) for learning multilabel classes. The basis of the proposed CF-CNN is a disjoint grouping method that first creates a class group with hierarchical association, and then assi...
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Gustavo Correa,Pedro Raúl Gutiérrez
Pág. 316 - 332
The Tupe and Patquía formations are known for their marine, deltaic, river, and eolian deposits that record different Late Paleozoic events in the Paganzo Basin. However, in the area of the Río Francia (Province of San Juan, Argentina), these units are r...
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Gabriele Accarino, Marco Chiarelli, Francesco Immorlano, Valeria Aloisi, Andrea Gatto and Giovanni Aloisio
One of the most important open challenges in climate science is downscaling. It is a procedure that allows making predictions at local scales, starting from climatic field information available at large scale. Recent advances in deep learning provide new...
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Chunyao Qian, Chao Yi, Chengqi Cheng, Guoliang Pu and Jiashu Liu
Address geolocation aims to associate address texts to the geographic locations. In China, due to the increasing demand for LBS applications such as take-out services and express delivery, automatically geolocating the unstructured address information is...
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Yutaro Iwamoto, Naoaki Hashimoto and Yen-Wei Chen
This study proposes real-time haze removal from a single image using normalised pixel-wise dark-channel prior (DCP). DCP assumes that at least one RGB colour channel within most local patches in a haze-free image has a low-intensity value. Since the spat...
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Khurram Hameed, Douglas Chai and Alexander Rassau
The physical features of fruit and vegetables make the task of vision-based classification of fruit and vegetables challenging. The classification of fruit and vegetables at a supermarket self-checkout poses even more challenges due to variable lighting ...
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