Results 21 to 30 of about 307,863 (250)
Ultra-High-Resolution UAV-Based Detection of Alternaria solani Infections in Potato Fields
Remote Sensing, 2022 Automatic detection of foliar diseases in potato fields, such as early blight caused by Alternaria solani, could allow farmers to reduce the application of plant protection products while minimizing production losses.
Ruben Van De Vijver +8 more
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Frontiers in Microbiology, 2021 The advent of next-generation sequencing technologies allowed relative quantification of microbiome communities and their spatial and temporal variation.
Elies Ramon +6 more
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Attention Mechanism Used in Monocular Depth Estimation: An Overview
Applied Sciences, 2023 Monocular depth estimation (MDE), as one of the fundamental tasks of computer vision, plays important roles in downstream applications such as virtual reality, 3D reconstruction, and robotic navigation.
Yundong Li, Xiaokun Wei, Hanlu Fan
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Improving Lightly Supervised Training for Broadcast Transcriptions [PDF]
, 2013 This paper investigates improving lightly supervised acoustic model training for an archive of broadcast data. Standard lightly supervised training uses automatically derived decoding hypotheses using a biased language model.
P. C. Woodl +11 more
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To supervise or to self-supervise: a machine learning based comparison on credit supervision [PDF]
Financial Innovation, 2021 AbstractThis study investigates the need for credit supervision as conducted by on-site banking supervisors. It builds on a real bank on-site credit examination to compare the performance of a hypothetical self-supervision approach, in which banks themselves assess their loan portfolios without external intervention, with the on-site banking ...
openaire +3 more sources
Weakly Supervised Learning of Objects, Attributes and their Associations [PDF]
, 2014 . When humans describe images they tend to use combinations of nouns and adjectives, corresponding to objects and their associated attributes respectively.
Zhiyuan Shi +11 more
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A Literature Survey on Word Sense Disambiguation for the Hindi Language
Information, 2023 Word sense disambiguation (WSD) is a process used to determine the most appropriate meaning of a word in a given contextual framework, particularly when the word is ambiguous.
Vinto Gujjar +5 more
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Comparison of Satellite Images Classification Techniques using Landsat-8 Data for Land Cover Extraction [PDF]
International Journal of Intelligent Computing and Information Sciences, 2021 Accurate extraction of land cover types from thematic maps using satellite images still constitutes a critical challenge. The selection of a suitable satellite image classification algorithm is considered a crucial prerequisite for successful ...
Soha Ahmed
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Deep Learning-Based Water Crystal Classification
Applied Sciences, 2022 Much of the earth’s surface is covered by water. As was pointed out in the 2020 edition of the World Water Development Report, climate change challenges the sustainability of global water resources, so it is important to monitor the quality of water to ...
Hien Doan Thi +6 more
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Tailoring Self-Supervision for Supervised Learning
, 2022 Accepted to ECCV 2022.
WonJun Moon, Ji-Hwan Kim, Jae-Pil Heo
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