266 citations · 708 across the 13 of their papers we have counts for
13 papers
Self-supervised Learning for Panoptic Segmentation of Multiple Fruit Flower Species
Abubakar Siddique, Amy Tabb, Henry Medeiros
Convolutional neural networks trained using manually generated labels are commonly used for semantic or instance segmentation. In precision agriculture, automated flower detection…
ArXiving Before Submission Helps Everyone
Dmytro Mishkin, Amy Tabb, Jiri Matas
We claim, and present evidence, that allowing arXiv publication before a conference or journal submission benefits researchers, especially early career, as well as the whole scient…
The Use of Agricultural Robots in Orchard Management
Qin Zhang, Manoj Karkee, Amy Tabb
Book chapter that summarizes recent research on agricultural robotics in orchard management, including Robotic pruning, Robotic thinning, Robotic spraying, Robotic harvesting, Robo…
Solving the Robot-World Hand-Eye(s) Calibration Problem with Iterative Methods
Amy Tabb, Khalil M. Ahmad Yousef
Robot-world, hand-eye calibration is the problem of determining the transformation between the robot end-effector and a camera, as well as the transformation between the robot base…
FreeLabel: A Publicly Available Annotation Tool based on Freehand Traces
Philipe A. Dias, Zhou Shen, Amy Tabb +1
Large-scale annotation of image segmentation datasets is often prohibitively expensive, as it usually requires a huge number of worker hours to obtain high-quality results. Abundan…
Multi-camera calibration with pattern rigs, including for non-overlapping cameras: CALICO
Amy Tabb, Henry Medeiros, Mitchell J. Feldmann +1
This paper describes CALICO, a method for multi-camera calibration suitable for challenging contexts: stationary and mobile multi-camera systems, cameras without overlapping fields…