Zobrazeno 1 - 10
of 124
pro vyhledávání: '"semantisk segmentering"'
Autor:
Wang, Xinchen
In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to it
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-344750
Autor:
William Coble, Kyle
This thesis addresses the problem of improving the delineation of skylines, also referred to as skyline detection, in occluded and challenging environments where existing skyline delineation methods may struggle or fail. Delineated skylines can be us
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-335106
Autor:
Morales Brotons, Daniel
Learning from unlabeled data is a topic of critical significance in machine learning, as the large datasets required to train ever-growing models are costly and impractical to annotate. Semi-Supervised Learning (SSL) methods aim to learn from a few l
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-334680
Autor:
Westphal, Ronny
This study details the development of a neural network model designed for real-time semantic segmentation, specifically to distinguish sky pixels from other elements within an image. The model is incorporated into a feature for an Augmented Reality a
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-336885
Autor:
Süsskind, Caspian
Deep learning has shown to be successful on the task of semantic segmentation of three-dimensional (3D) point clouds, which has many interesting use cases in areas such as autonomous driving and defense applications. A common type of sensor used for
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-185725
Autor:
Süsskind, Caspian
Deep learning has shown to be successful on the task of semantic segmentation of three-dimensional (3D) point clouds, which has many interesting use cases in areas such as autonomous driving and defense applications. A common type of sensor used for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c58e607f66db169b04fea2b5050b456c
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-185725
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-185725
Autor:
Valls I Ferrer, Gerard
Semantic segmentation is the task of predicting predefined class labels for each pixel in a given image. It is essential in autonomous driving, but also challenging because training accurate models requires large and diverse datasets, which are diffi
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-308936
Autor:
Valls I Ferrer, Gerard
Semantic segmentation is the task of predicting predefined class labels for each pixel in a given image. It is essential in autonomous driving, but also challenging because training accurate models requires large and diverse datasets, which are diffi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::91fbd9bf001aacc66ca5a5e91768a8eb
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-308936
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-308936
Autor:
Bonato, Simone
Traumatic brain injury (TBI) affects millions of people worldwide, leading to significant mortality and disability rates. Elevated intracranial pressure (ICP) resulting from TBI can cause severe complications and requires early detection to improve p
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-333084