Dissertations / Theses on the topic 'Deep learning, convolutional neural networks, classification, object detection'
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Lidberg, Love. "Object Detection using deep learning and synthetic data." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-150555.
Full textMarko, Arsenović. "Detekcija bolesti biljaka tehnikama dubokog učenja." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2020. https://www.cris.uns.ac.rs/record.jsf?recordId=114816&source=NDLTD&language=en.
Full textHřebíček, Zdeněk. "Klasifikace obrazů s pomocí hlubokého učení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-241140.
Full textNorrstig, Andreas. "Visual Object Detection using Convolutional Neural Networks in a Virtual Environment." Thesis, Linköpings universitet, Datorseende, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-156609.
Full textDickens, James. "Depth-Aware Deep Learning Networks for Object Detection and Image Segmentation." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42619.
Full textTang, Yuxing. "Weakly supervised learning of deformable part models and convolutional neural networks for object detection." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEC062/document.
Full textSchennings, Jacob. "Deep Convolutional Neural Networks for Real-Time Single Frame Monocular Depth Estimation." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-336923.
Full textKastberg, Maria. "Using Convolutional Neural Networks to Detect People Around Wells in South Sudan." Thesis, Linköpings universitet, Datorseende, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160325.
Full textRönnqvist, Johannes, and Johannes Sjölund. "A Deep Learning Approach to Detection and Classification of Small Defects on Painted Surfaces : A Study Made on Volvo GTO, Umeå." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160194.
Full textMelcherson, Tim. "Image Augmentation to Create Lower Quality Images for Training a YOLOv4 Object Detection Model." Thesis, Uppsala universitet, Signaler och system, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-429146.
Full textLamberti, Lorenzo. "A deep learning solution for industrial OCR applications." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19777/.
Full textDobiš, Lukáš. "Detekce osob a hodnocení jejich pohlaví a věku v obrazových datech." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413019.
Full textMarko, Peter. "Detekce objektů v laserových skenech pomocí konvolučních neuronových sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445509.
Full text(6622538), Liming Wu. "Biomedical Image Segmentation and Object Detection Using Deep Convolutional Neural Networks." Thesis, 2019.
Find full textPinto, Tiago Alexandre Barbosa. "Object detection with artificial vision and neural networks for service robots." Master's thesis, 2018. http://hdl.handle.net/1822/62251.
Full textAlbuquerque, Carina Isabel Andrade. "Convolutional neural networks for cell detection and counting : a case study of human cell quantification in zebrafish xenografts using deep learning object detection techniques." Master's thesis, 2019. http://hdl.handle.net/10362/62425.
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