Search Results for author: Chloe Rolland

Found 2 papers, 1 papers with code

FACET: Fairness in Computer Vision Evaluation Benchmark

no code implementations • ICCV 2023 • Laura Gustafson, Chloe Rolland, Nikhila Ravi, Quentin Duval, Aaron Adcock, Cheng-Yang Fu, Melissa Hall, Candace Ross

We present a new benchmark named FACET (FAirness in Computer Vision EvaluaTion), a large, publicly available evaluation set of 32k images for some of the most common vision tasks - image classification, object detection and segmentation.

Fairness Image Classification +3

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Segment Anything

18 code implementations • ICCV 2023 • Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, Ross Girshick

We introduce the Segment Anything (SA) project: a new task, model, and dataset for image segmentation.

Ranked #2 on Zero-Shot Instance Segmentation on LVIS v1.0 val

Event-based Object Segmentation Image Segmentation +3

125,059

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