Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Marek Vajgl"'
Publikováno v:
Applied Sciences, Vol 12, Iss 7, p 3402 (2022)
We present a conceptually simple yet powerful and general scheme for refining the predictions of bounding boxes produced by an arbitrary object detector. Our approach was trained separately on single objects extracted from ground truth labels. For in
Externí odkaz:
https://doaj.org/article/2ef231d70aa643e99ce913e9911dd63a
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1354 (2022)
We present a scheme of how YOLO can be improved in order to predict the absolute distance of objects using only information from a monocular camera. It is fully integrated into the original architecture by extending the prediction vectors, sharing th
Externí odkaz:
https://doaj.org/article/fa9b617ab74e4c86b6e78932790cf9e3
Publikováno v:
Advances in Fuzzy Systems, Vol 2012 (2012)
We propose to use the modern technique of the F-transform in order to show that it can be successfully applied to the image fusion. We remind two working algorithms (SA—the simple algorithm, and CA—the complete algorithm) which are based on the F
Externí odkaz:
https://doaj.org/article/75fcc45e15e14dc3bb49a7342927e80f
Autor:
Petr Hurtik, Marek Vajgl
The continuous monitoring of a shore plays an essential role in designing strategies for shore protection against erosion. To avoid the effect of clouds and sunlight, satellite-based imagery with synthetic aperture radar is used to provide the requir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22128296a8f246de5eaae7c2abc05dc9
Autor:
Marek Vajgl, Petr Hurtik
Publikováno v:
2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP).
With the increased accessibility to neural network frameworks and computation clouds, a wide range of competition websites offer real tasks for the neural network community to join. In this paper, we discuss a problem of object detection and classifi
We present a new version of YOLO with better performance and extended with instance segmentation called Poly-YOLO. Poly-YOLO builds on the original ideas of YOLOv3 and removes two of its weaknesses: a large amount of rewritten labels and inefficient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2f13e603c9d0f5a3e014e39e475cee7
http://arxiv.org/abs/2005.13243
http://arxiv.org/abs/2005.13243
Publikováno v:
Intelligent Information and Database Systems: Recent Developments ISBN: 9783030141318
ACIIDS (Extended Posters)
ACIIDS (Extended Posters)
The paper tries to discuss from a slightly higher level a focus oriented towards general properties that a Semantic Web Language (SWL) must have. We state as a ground the following two points of view: to compare (1) Expressivity of the SWL, and (2) a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e338b7a69000b46f29eff28f55eddae3
https://doi.org/10.1007/978-3-030-14132-5_10
https://doi.org/10.1007/978-3-030-14132-5_10
Autor:
Marek Vajgl, Irina Perfilieva
Publikováno v:
SCIS&ISIS
During our research, we have presented a novel approach for multi-focus image fusion based on new image sharpness measures built on F-Transform. We have already presented that F-Transform based sharpness measure subjectively give good results in edge
Autor:
Petr Raunigr, Marek Vajgl
Publikováno v:
AIP Conference Proceedings.
The contribution introduces a research in the field of Moodle system plugin with the ability to process an evaluation of Java programming homeworks in an automated way. An automated assessment consists of two parts – plagiarism evaluation comparing