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Found 5 papers, 1 papers with code
HOB-CNN: Hallucination of Occluded Branches with a Convolutional Neural Network for 2D Fruit Trees
We further validated HOB-CNN against two different types of 2D trees, and HOB-CNN shows generalization across different trees and robustness under different occluded conditions.
Minimizing Labeling Effort for Tree Skeleton Segmentation using an Automated Iterative Training Methodology
It is shown that in our application, the new Automating-the-Loop method greatly reduces the labeling effort while producing comparable performance to both human-in-the-loop and complete manual labeling methods.
Semantic Segmentation for Partially Occluded Apple Trees Based on Deep Learning
DeepLabv3 outperforms the other models at Binary accuracy, Mean IoU and Boundary F1 score, but is surpassed by Pix2Pix (without discriminator) and U-Net in Occluded branch recall.
Object-Independent Human-to-Robot Handovers using Real Time Robotic Vision
In experiments with 13 objects, the robot was able to successfully take the object from the human in 81. 9% of the trials.
Supportive Actions for Manipulation in Human-Robot Coworker Teams
We compare two robot modes in a shared table pick-and-place task: (1) Task-oriented: the robot only takes actions to further its own task objective and (2) Supportive: the robot sometimes prefers supportive actions to task-oriented ones when they reduce future goal-conflicts.
