Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Josip Šarić"'
Publikováno v:
Remote Sensing, Vol 15, Iss 8, p 1968 (2023)
Dense panoptic prediction is a key ingredient in many existing applications such as autonomous driving, automated warehouses, or remote sensing. Many of these applications require fast inference over large input resolutions on affordable or even embe
Externí odkaz:
https://doaj.org/article/a3f736253516449d81ce02241ff5edfc
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 400 (2022)
Anticipation of per-pixel semantics in a future unobserved frame is also known as dense semantic forecasting. State-of-the-art methods are based on single-level regression of a subsampled abstract representation of a recognition model. However, singl
Externí odkaz:
https://doaj.org/article/ed804b8d96a44933adee9fb2b7d49bcf
Autor:
Josip Šarić
Gusto semantičko prognoziranje anticipira događaje u videu predviđanjem semantike na razini piksela u budućem neopaženom slikovnom okviru. Ova disertacija posebnu pažnju posvećuje metodama gustog prognoziranja na razini apstraktnih značajki d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::da40d9949741147f4253275f0cf4cd7e
https://repozitorij.fer.unizg.hr/islandora/object/fer:7734
https://repozitorij.fer.unizg.hr/islandora/object/fer:7734
Publikováno v:
Science for Conservation of the Danube Limes, Mortar Design for Conservation – Danube Roman Frontier 2,000 Years After. 1st International conference with workshop, Viminacium, Serbia, June 27th-July 1st, 2022
72 68 М30 М32
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10287::afa342f59bef145e8fcf4565792962fc
http://dr.rgf.bg.ac.rs/s/repo/item/6731
http://dr.rgf.bg.ac.rs/s/repo/item/6731
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030712778
GCPR
Pattern Recognition
GCPR
Pattern Recognition
This paper considers semantic forecasting in road-driving scenes. Most existing approaches address this problem as deterministic regression of future features or future predictions given observed frames. However, such approaches ignore the fact that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2e4c7c014b7a31c3c9cc41cfb36767c
http://arxiv.org/abs/2010.09067
http://arxiv.org/abs/2010.09067
Publikováno v:
CVPR
We address anticipation of scene development by forecasting semantic segmentation of future frames. Several previous works approach this problem by F2F (feature-to-feature) forecasting where future features are regressed from observed features. Diffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6b644e97864c71d27294d5477755396
https://doi.org/10.1109/cvpr42600.2020.01066
https://doi.org/10.1109/cvpr42600.2020.01066
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030336752
GCPR
GCPR
Future anticipation is of vital importance in autonomous driving and other decision-making systems. We present a method to anticipate semantic segmentation of future frames in driving scenarios based on feature-to-feature forecasting. Our method is b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::352f07ce162bed55fb9ea07875904c3b
http://arxiv.org/abs/1907.11475
http://arxiv.org/abs/1907.11475