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Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: A semantic segmentation solution

• Authors : Chen, Tzu-Hsin Karen; Qiu, Chunping; Schmitt, Michael

Subjects: Landsat; deep learning; multi-temporal classification

• Source: Chen , T-H K , Qiu , C , Schmitt , M , Zhu , X , Sabel , C E & Prishchepov , A 2020 , ' Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: A

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Orchard mapping with deep learning semantic segmentation

• Authors : Anagnostis, Athanasios; Tagarakis, Aristotelis C.; Kateris, Dimitrios

• Source: Anagnostis , A , Tagarakis , A C , Kateris , D , Moysiadis , V , Sørensen , C G , Pearson , S & Bochtis , D 2021 , ' Orchard mapping with deep learning semantic

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The Oil Radish Growth Dataset for Semantic Segmentation and Yield Estimation

• Authors : Mortensen, Anders Krogh; Skovsen, Søren; Karstoft, Henrik

Subjects: Dataset; Plant Phenotyping

• Source: Mortensen , A K , Skovsen , S , Karstoft , H & Gislum , R 2019 , The Oil Radish Growth Dataset for Semantic Segmentation and Yield

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Semantic Segmentation of Clover-Grass Images using Images from Commercially Available Drones

• Authors : Larsen, Dennis; Steen, Kim Arild; Skovsen, Søren ...

• Source: Larsen , D , Steen , K A , Skovsen , S , Grooters , K , Eriksen , J , Nyholm Jørgensen , R , Dyrmann , M & Green , O 2018 , Semantic

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360SFUDA++:Towards Source-free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes

• Authors : Zheng, Xu; Zhou, Peng Yuan; Vasilakos, Athanasios V.

Subjects: Source-Free Unsupervised Domain Adaptation; Panoramic Semantic Segmentation

• Source: Zheng , X , Zhou , P Y , Vasilakos , A V & Wang , L 2024 , ' 360SFUDA++ : Towards Source-free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes ' ,

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A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments

• Authors : Bjerge, Kim; Karstoft, Henrik; Mann, Hjalte M.R.

Subjects: Biodiversity; Classification; Computer vision

• Source: Bjerge , K , Karstoft , H , Mann , H M R & Høye , T T 2024 , ' A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments ' , Ecological Informatics , vol. 84

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Semantic Segmentation of Mixed Crops using Deep Convolutional Neural Network

• Authors : Mortensen, Anders Krogh; Dyrmann, Mads; Karstoft, Henrik

Subjects: Pixel-wise classification; Deep learning; computer vision

• Source: Mortensen , A K , Dyrmann , M , Karstoft , H , Nyholm Jørgensen , R & Gislum , R 2016 , ' Semantic Segmentation of Mixed Crops using Deep

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Loss-modified transformer-based U-Net for accurate segmentation of fluids in optical coherence tomography images of retinal diseases

• Authors : Darooei, Reza; Nazari, Milad; Kafieh, Rahle

Subjects: Customized loss function; deep learning; fluid accumulation

• Source: Darooei , R , Nazari , M , Kafieh , R & Rabbani , H 2023 , ' Loss-modified transformer-based U-Net for accurate segmentation of fluids in optical coherence tomography

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Dual-Tree Complex Wavelet Input Transform for Cyst Segmentation in OCT Images Based on a Deep Learning Framework

• Authors : Darooei, Reza; Nazari, Milad; Kafieh, Rahele

Subjects: deep learning; dual-tree complex wavelet transform (DTCWT); fluid accumulation

• Source: Darooei , R , Nazari , M , Kafieh , R & Rabbani , H 2023 , ' Dual-Tree Complex Wavelet Input Transform for Cyst Segmentation in OCT Images Based on a Deep Learning

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Integrated design-sense-plan architecture for autonomous geometric-semantic mapping with UAVs

• Authors : Pimentel de Figueiredo, Rui; Le Fevre Sejersen, Jonas; Grimm Hansen, Jakob

Subjects: Autonomous Aerial Vehicles (AAV); deep learning; design-optimization

• Source: Pimentel de Figueiredo , R , Le Fevre Sejersen , J , Grimm Hansen , J & Brandão , M 2022 , ' Integrated design-sense-plan architecture for autonomous geometric-semantic

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