Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Ayalew, Tewodros"'
Autor:
Ayalew, Tewodros, Zhang, Xiao, Wu, Kevin Yuanbo, Jiang, Tianchong, Maire, Michael, Walter, Matthew R.
We present PROGRESSOR, a novel framework that learns a task-agnostic reward function from videos, enabling policy training through goal-conditioned reinforcement learning (RL) without manual supervision. Underlying this reward is an estimate of the d
Externí odkaz:
http://arxiv.org/abs/2411.17764
Publikováno v:
In Rhizosphere December 2024 32
Supervised learning is often used to count objects in images, but for counting small, densely located objects, the required image annotations are burdensome to collect. Counting plant organs for image-based plant phenotyping falls within this categor
Externí odkaz:
http://arxiv.org/abs/2009.01081
Autor:
Ubbens, Jordan, Ayalew, Tewodros, Shirtliffe, Steve, Josuttes, Anique, Pozniak, Curtis, Stavness, Ian
Counting plant organs such as heads or tassels from outdoor imagery is a popular benchmark computer vision task in plant phenotyping, which has been previously investigated in the literature using state-of-the-art supervised deep learning techniques.
Externí odkaz:
http://arxiv.org/abs/2007.09178
Publikováno v:
In Heliyon January 2022 8(1)
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
International Journal of Agronomy; 7/31/2024, Vol. 2024, p1-12, 12p
Autor:
Shumet, Shemeles Tesfaye1 (AUTHOR), Ayalew, Tewodros2 (AUTHOR), Roro, Amsalu Gobena2 (AUTHOR), Beshir, Hussien Mohammed2 (AUTHOR)
Publikováno v:
Scientifica. 12/6/2022, Vol. 2022, p1-12. 12p.
Autor:
Ayalew, Tewodros1 (AUTHOR) tedddy1360@yahoo.ocm, Yoseph, Tarekegn1 (AUTHOR), Cadisch, Georg2 (AUTHOR)
Publikováno v:
Journal of Plant Interactions. Dec2022, Vol. 17 Issue 1, p853-860. 8p.
Publikováno v:
Agronomy; Jun2024, Vol. 14 Issue 6, p1280, 16p