40 citations · 55 across the 7 of their papers we have counts for
3 papers · 1 filter
Enabling Calibration In The Zero-Shot Inference of Large Vision-Language Models
Will LeVine, Benjamin Pikus, Pranav Raja +1
Calibration of deep learning models is crucial to their trustworthiness and safe usage, and as such, has been extensively studied in supervised classification models, with methods…
End-to-end deep learning for directly estimating grape yield from ground-based imagery
Alexander G. Olenskyj, Brent S. Sams, Zhenghao Fei +4
Yield estimation is a powerful tool in vineyard management, as it allows growers to fine-tune practices to optimize yield and quality. However, yield estimation is currently perfor…
Simultaneously Predicting Multiple Plant Traits from Multiple Sensors via Deformable CNN Regression
Pranav Raja, Alex Olenskyj, Hamid Kamangir +1
Trait measurement is critical for the plant breeding and agricultural production pipeline. Typically, a suite of plant traits is measured using laborious manual measurements and th…