Justin Kay

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Fine Grained Categorization

Object Detection

Top Venues

Publications

Justin Kay, Timm Haucke, Suzanne Stathatos, Siqi Deng, Erik Young, Pietro Perona, Sara Beery, Grant Van Horn
Align and Distill: Unifying and Improving Domain Adaptive Object Detection. CoRR (2024)
Jess Tam, Justin Kay
Comparing fine-grained and coarse-grained object detection for ecology. CoRR (2024)
Elijah Cole, Suzanne Stathatos, Björn Lütjens, Tarun Sharma, Justin Kay, Jason Parham, Benjamin Kellenberger, Sara Beery
Teaching Computer Vision for Ecology. CoRR (2023)
Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant Van Horn, Pietro Perona
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting. ECCV (8) (2022)
Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant Van Horn, Pietro Perona
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting. CoRR (2022)
Justin Kay, Catherine M. Foley, Tom Hart
Fine-Grained Counting with Crowd-Sourced Supervision. CoRR (2022)
Justin Kay, Matt Merrifield
The Fishnet Open Images Database: A Dataset for Fish Detection and Fine-Grained Categorization in Fisheries. CoRR (2021)