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Justin Kay

2 accepted papers

2025

Consensus-Driven Active Model Selection

ICCV 2025poster

The widespread availability of off-the-shelf machine learning models poses a challenge: which model, of the many available candidates, should be chosen for a given data analysis task? This question of model selection is traditionally answered by collecting and annotating a validation dataset---a cos…

2022

The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting

ECCV 2022poster

"We present the Caltech Fish Counting Dataset (CFC), a large-scale dataset for detecting, tracking, and counting fish in sonar videos. We identify sonar videos as a rich source of data for advancing low signal-to-noise computer vision applications and tackling domain generalization in multiple-objec…