4 citations · 4 across the 1 of their papers we have counts for
3 papers
FOCAL: A Cost-Aware Video Dataset for Active Learning
Kiran Kokilepersaud, Yash-Yee Logan, Ryan Benkert +6
In this paper, we introduce the FOCAL (Ford-OLIVES Collaboration on Active Learning) dataset which enables the study of the impact of annotation-cost within a video active learning…
Gaussian Switch Sampling: A Second Order Approach to Active Learning
Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib +2
In active learning, acquisition functions define informativeness directly on the representation position within the model manifold. However, for most machine learning models (in pa…
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection
Abhinav Kumar, Garrick Brazil, Enrique Corona +2
Modern neural networks use building blocks such as convolutions that are equivariant to arbitrary 2D translations. However, these vanilla blocks are not equivariant to arbitrary 3D…