Results 21 to 30 of about 1,261,630 (267)
Evaluating explainability for graph neural networks
Scientific Data, 2023 As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial.
Chirag Agarwal +3 more
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ISPRS International Journal of Geo-Information, 2022 Land use and land cover (LULC) classification maps help understand the state and trends of agricultural production and provide insights for applications in environmental monitoring. One of the major downfalls of the LULC technique is inherently linked to
Usman Ali +5 more
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HMPLMD: Handwritten Malayalam palm leaf manuscript dataset
Data in Brief, 2023 The realization of high recognition rates of degraded documents such as palm leaf manuscripts primarily relies on document enhancement. Advancement of deep learning models in the process of document enhancement plays a major role among non-deep learning ...
B.J. Bipin Nair, N. Shobha Rani
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A Newly Developed Ground Truth Dataset for Visual Saliency in Videos
IEEE Access, 2018 Visual saliency models aim to detect important and eye catching portions in a scene by exploiting human visual system characteristics. The effectiveness of visual saliency models is evaluated by comparing saliency maps with a ground truth data set.
Muhammad Zeeshan +5 more
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Upscaling Evapotranspiration from a Single-Site to Satellite Pixel Scale
Remote Sensing, 2021 It is of great significance for the validation of remotely sensed evapotranspiration (ET) products to solve the spatial-scale mismatch between site observations and remote sensing estimations.
Xiang Li +11 more
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Data, 2021 A new ground truth dataset generated with high-accuracy Global Navigation Satellite Systems (GNSS) positional data of the invasive reed Phragmites australis subsp. australis within Îles-de-Boucherville National Park (Quebec, Canada) is described.
Kathryn Elmer, Margaret Kalacska
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On the Use of Threshold for the Ground Validation of Satellite Rain Rate
Advances in Meteorology, 2015 Ground-truthing is a major problem in the satellite estimation of rain rate. This problem is that the measurement taken by the satellite sensor is fundamentally different from the one it is compared with on the ground.
Jungsoo Yoon, Chulsang Yoo, Eunho Ha
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ON CONSTRUCTION OF A RELIABLE GROUND TRUTH FOR EVALUATION OF VISUAL SLAM ALGORITHMS
Acta Polytechnica CTU Proceedings, 2016 In this work we are concerning the problem of localization accuracy evaluation of visual-based Simultaneous Localization and Mapping (SLAM) techniques.
Jan Bayer, Petr Čížek, Jan Faigl
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Weak Ground Truth Determination of Continuous Human-Rated Data
IEEE Access, 2021 The article presents a novel weak ground truth (WGT) determination procedure on continuous human-rated data. The notion of WGT is essential in cases where there is no direct empirical evidence for an observed construct and human annotations provide the ...
Andrej Kosir, Gregor Strle, Marko Meza
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An Independent Validation of SoilGrids Accuracy for Soil Texture Components in Croatia
Land, 2023 While SoilGrids is an important source of soil property data for a wide range of environmental studies worldwide, there is currently an extreme lack of studies evaluating its accuracy against independent ground truth soil sampling data.
Dorijan Radočaj +5 more
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