Zoom in on the Plant: Fine-Grained Analysis of Leaf, Stem, and Vein Instances

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 the plant architecture with its individual leaves an...

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Vydané v:	IEEE robotics and automation letters Ročník 9; číslo 2; s. 1588 - 1595
Hlavní autori:	Guldenring, Ronja, Andersen, Rasmus Eckholdt, Nalpantidis, Lazaros
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.02.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Agricultural robots Annotations Crops Data models Datasets Feature extraction field robots Grasslands Image categorization image dataset keypoint-guided polylines Phenotypes phenotyping Plants (botany) Robotics and automation in agriculture and forestry Robots Scene analysis Stems
ISSN:	2377-3766, 2377-3766
On-line prístup:	Získať plný text
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