5 papers · 1 filter
MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration
Zongyao Lyu, Nolan B. Gutierrez, William J. Beksi
Open-set recognition refers to the problem in which classes that were not seen during training appear at inference time. This requires the ability to identify instances of novel cl…
UEOF: A Benchmark Dataset for Underwater Event-Based Optical Flow
Nick Truong, Pritam P. Karmokar, William J. Beksi
Underwater imaging is fundamentally challenging due to wavelength-dependent light attenuation, strong scattering from suspended particles, turbidity-induced blur, and non-uniform i…
CitDet: A Benchmark Dataset for Citrus Fruit Detection
Jordan A. James, Heather K. Manching, Matthew R. Mattia +3
In this letter, we present a new dataset to advance the state of the art in detecting citrus fruit and accurately estimate yield on trees affected by the Huanglongbing (HLB) diseas…
Secrets of Edge-Informed Contrast Maximization for Event-Based Vision
Pritam P. Karmokar, Quan H. Nguyen, William J. Beksi
Event cameras capture the motion of intensity gradients (edges) in the image plane in the form of rapid asynchronous events. When accumulated in 2D histograms, these events depict…
Few-Shot Fruit Segmentation via Transfer Learning
Jordan A. James, Heather K. Manching, Amanda M. Hulse-Kemp +1
Advancements in machine learning, computer vision, and robotics have paved the way for transformative solutions in various domains, particularly in agriculture. For example, accura…