Attention Based High Resolution Image Classification – Dominik HEINDL
Dominik HEINDL
Bachelor's thesis
Attention Based High Resolution Image Classification
Attention Based High Resolution Image Classification
Abstract:
Modern digital images, especially in the field of medicine, have extremely high resolutions. Current state-of-the-art image recognition techniques, like Convolutional Neural Networks, cannot handle such high dimensional inputs. In this thesis I compared the standard approach ofclassifying images by downscaling them with an attention-based Multiple Instance Learning approach where the original image …moreAbstract:
Modern digital images, especially in the field of medicine, have extremely high resolutions. Current state-of-the-art image recognition techniques, like Convolutional Neural Networks, cannot handle such high dimensional inputs. In this thesis I compared the standard approach ofclassifying images by downscaling them with an attention-based Multiple Instance Learning approach where the original image …more
Language used: English
Date on which the thesis was submitted / produced: 26. 10. 2020
Thesis defence
- Supervisor: prof. Dr. Sepp Hochreiter
Citation record
ISO 690-compliant citation record:
HEINDL, Dominik. \textit{Attention Based High Resolution Image Classification}. Online. Bachelor's thesis. České Budějovice: University of South Bohemia in České Budějovice, Faculty of Science. 2020. Available from: https://theses.cz/id/v5epzs/.
The right form of listing the thesis as a source quoted
HEINDL, Dominik. Attention Based High Resolution Image Classification. Č. Budějovice, 2020. bakalářská práce (Bc.). JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH. Přírodovědecká fakulta
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
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Institution archiving the thesis and making it accessible: JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH, Přírodovědecká fakultaUNIVERSITY OF SOUTH BOHEMIA IN ČESKÉ BUDĚJOVICE
Faculty of ScienceBachelor programme / field:
Applied Informatics / Bioinformatics
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