Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Tomas Nejezchleba"'
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:
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
