Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Jurgen Beyerer"'
Publikováno v:
IEEE Access, Vol 12, Pp 6473-6493 (2024)
Sensor-based sorting describes a family of systems that enable the removal of individual objects from a material stream. The technology is widely used in various industries such as agriculture, food, mining, and recycling. Examples of sorting tasks i
Externí odkaz:
https://doaj.org/article/4a984e273c3d4ff7b29410ee0998be12
Autor:
Mickael Cormier, Andreas Specker, Julio C. S. Jacques, Lucas Florin, Jurgen Metzler, Thomas B. Moeslund, Kamal Nasrollahi, Sergio Escalera, Jurgen Beyerer
Publikováno v:
Cormier, M, Specker, A, Jacques, J C S, Florin, L, Metzler, J, Moeslund, T B, Nasrollahi, K, Escalera, S & Beyerer, J 2023, UPAR Challenge : Pedestrian Attribute Recognition and Attribute-based Person Retrieval-Dataset, Design, and Results . in Proceedings-2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023 . IEEE, Proceedings-2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023, pp. 166-175, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023, Waikoloa, United States, 03/01/2023 . https://doi.org/10.1109/WACVW58289.2023.00022
In civilian video security monitoring, retrieving and tracking a person of interest often rely on witness testimony and their appearance description. Deployed systems rely on a large amount of annotated training data and are expected to show consiste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5660592d7a7602b74d1a7c5fbd66a490
https://vbn.aau.dk/da/publications/5edeca26-edbb-49ba-b7cc-1980e07ceee9
https://vbn.aau.dk/da/publications/5edeca26-edbb-49ba-b7cc-1980e07ceee9
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW).
Publikováno v:
2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA).
Although human action anticipation is a task which is inherently multi-modal, state-of-the-art methods on well known action anticipation datasets leverage this data by applying ensemble methods and averaging scores of unimodal anticipation networks.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a4ea41ec960944f606bcf9df5ca9c56
http://arxiv.org/abs/2210.12649
http://arxiv.org/abs/2210.12649
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Continual learning for Semantic Segmentation (CSS) is a rapidly emerging field, in which the capabilities of the segmentation model are incrementally improved by learning new classes or new domains. A central challenge in Continual Learning is overco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c730bf8e25a7733edb02532d8c35d2f9
http://arxiv.org/abs/2209.09839
http://arxiv.org/abs/2209.09839
Publikováno v:
2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS).
Autor:
Andreas Specker, Jurgen Beyerer
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Autor:
Jingxing Zhou, Jurgen Beyerer
Publikováno v:
2022 IEEE Intelligent Vehicles Symposium (IV).