3 papers
cs.CV2023
Reading Between the Mud: A Challenging Motorcycle Racer Number Dataset
Jacob Tyo, Youngseog Chung, Motolani Olarinre +1
This paper introduces the off-road motorcycle Racer number Dataset (RnD), a new challenging dataset for optical character recognition (OCR) research. RnD contains 2,411 images from…
cs.CV2023
MUDD: A New Re-Identification Dataset with Efficient Annotation for Off-Road Racers in Extreme Conditions
Jacob Tyo, Motolani Olarinre, Youngseog Chung +1
Re-identifying individuals in unconstrained environments remains an open challenge in computer vision. We introduce the Muddy Racer re-IDentification Dataset (MUDD), the first larg…
cs.LG2023
Meta-Learning Mini-Batch Risk Functionals
Jacob Tyo, Zachary C. Lipton
Supervised learning typically optimizes the expected value risk functional of the loss, but in many cases, we want to optimize for other risk functionals. In full-batch gradient de…