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In precision agriculture, vision models often struggle with new, unseen fields where crops and weeds have been influenced by external factors, resulting in compositions and appearances that differ from the learned distribution. This paper aims to ada
Externí odkaz:
http://arxiv.org/abs/2410.23906
Autor:
Güldenring, Benjamin, Roth, Volker
Phishing websites are a common phenomenon among Tor onion services, and phishers exploit that it is tremendously difficult to distinguish phishing from authentic onion domain names. Operators of onion services devised several strategies to protect th
Externí odkaz:
http://arxiv.org/abs/2408.07787
Laboratory processes involving small volumes of solutions and active ingredients are often performed manually due to challenges in automation, such as high initial costs, semi-structured environments and protocol variability. In this work, we develop
Externí odkaz:
http://arxiv.org/abs/2404.16529
Robot perception is far from what humans are capable of. Humans do not only have a complex semantic scene understanding but also extract fine-grained intra-object properties for the salient ones. When humans look at plants, they naturally perceive th
Externí odkaz:
http://arxiv.org/abs/2312.08805
Autor:
Rudolph, Michael, Dawoud, Youssef, Güldenring, Ronja, Nalpantidis, Lazaros, Belagiannis, Vasileios
We present a lightweight encoder-decoder architecture for monocular depth estimation, specifically designed for embedded platforms. Our main contribution is the Guided Upsampling Block (GUB) for building the decoder of our model. Motivated by the con
Externí odkaz:
http://arxiv.org/abs/2203.04206
Akademický článek
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Many of the benefits we derive from the Internet require trust in the authenticity of HTTPS connections. Unfortunately, the public key certification ecosystem that underwrites this trust has failed us on numerous occasions. Towards an exploration of
Externí odkaz:
http://arxiv.org/abs/1801.00933
Autor:
Li, Jiahao1 (AUTHOR), Güldenring, Ronja1 (AUTHOR), Nalpantidis, Lazaros1 (AUTHOR) lanalpa@dtu.dk
Publikováno v:
Agronomy. Sep2023, Vol. 13 Issue 9, p2365. 12p.
Publikováno v:
Agronomy, Vol 13, Iss 9, p 2365 (2023)
Autonomous weeding robots need to accurately detect the joint stem of grassland weeds in order to control those weeds in an effective and energy-efficient manner. In this work, keypoints on joint stems and bounding boxes around weeds in grasslands ar
Externí odkaz:
https://doaj.org/article/044a628a8ef84ac3ac4417c8b60d00b7
Publikováno v:
In Computers and Electronics in Agriculture December 2021 191