2.1k citations · 3.3k across the 17 of their papers we have counts for
4 papers · 1 filter
Scalable Annotation of Fine-Grained Categories Without Experts
Timnit Gebru, Jonathan Krause, Jia Deng +1
We present a crowdsourcing workflow to collect image annotations for visually similar synthetic categories without requiring experts. In animals, there is a direct link between tax…
Fine-Grained Car Detection for Visual Census Estimation
Timnit Gebru, Jonathan Krause, Yilun Wang +3
Targeted socioeconomic policies require an accurate understanding of a country's demographic makeup. To that end, the United States spends more than 1 billion dollars a year gather…
Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach
Timnit Gebru, Judy Hoffman, Li Fei-Fei
While fine-grained object recognition is an important problem in computer vision, current models are unlikely to accurately classify objects in the wild. These fully supervised mod…
Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US
Timnit Gebru, Jonathan Krause, Yilun Wang +4
The United States spends more than $1B each year on initiatives such as the American Community Survey (ACS), a labor-intensive door-to-door study that measures statistics relating…