9 citations · 16 across the 8 of their papers we have counts for
Showing 2020Show all
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eess.IV2020
Volumetric based mass flow estimation on sugarcane harvesters
Muhammad K. A. Hamdan, Diane T. Rover, Matthew J. Darr +1
Yield monitors on harvesters are a key component of precision agriculture. Mass flow estimation is the critical factor to measure, and having this allows for field productivity ana…
cs.CV2020
Generalizable semi-supervised learning method to estimate mass from sparsely annotated images
Muhammad K. A. Hamdan, Diane T. Rover, Matthew J. Darr +1
Mass flow estimation is of great importance to several industries, and it can be quite challenging to obtain accurate estimates due to limitation in expense or general infeasibilit…
cs.LG2020
Granular Learning with Deep Generative Models using Highly Contaminated Data
John Just
An approach to utilize recent advances in deep generative models for anomaly detection in a granular (continuous) sense on a real-world image dataset with quality issues is detaile…