4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.CV2026
FrontVeg V2: A Training-Free Software Framework for Foreground-Aware Zero-Shot Plant Trait Segmentation in High-Resolution Images of Trellised Crops
Abdoul Djalil Ousseini Hamza, Herearii Metuarea, Corentin Lothod{é} +6
FrontVeg V2 is an open-source, training-free software framework for foregroundaware zero-shot segmentation of plant traits in high-resolution images of trellised crops. The pipelin…
cs.CV2024★ 4 cited
PLANesT-3D: A new annotated dataset for segmentation of 3D plant point clouds
Kerem Mertoğlu, Yusuf Şalk, Server Karahan Sarıkaya +6
Creation of new annotated public datasets is crucial in helping advances in 3D computer vision and machine learning meet their full potential for automatic interpretation of 3D pla…