Encoder semantic space adaptation between two semantic segmentation models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F23%3A43969947" target="_blank" >RIV/49777513:23520/23:43969947 - isvavai.cz</a>
Result on the web
<a href="http://svk.fav.zcu.cz/download/proceedings_svk_2023.pdf" target="_blank" >http://svk.fav.zcu.cz/download/proceedings_svk_2023.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Encoder semantic space adaptation between two semantic segmentation models
Original language description
Semantic segmentation is a computer vision task that aims to classify each pixel in an image in a predefined class, in other words, for each class, find a segmentation mask that indicates all objects of that class in the image.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů