1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling
Ke Yu, Stephen Albro, Giulia DeSalvo +5
Training high-quality instance segmentation models requires an abundance of labeled images with instance masks and classifications, which is often expensive to procure. Active lear…
cs.LG2023★ 1 cited
Agile Modeling: From Concept to Classifier in Minutes
Otilia Stretcu, Edward Vendrow, Kenji Hata +15
The application of computer vision to nuanced subjective use cases is growing. While crowdsourcing has served the vision community well for most objective tasks (such as labeling a…
cs.AI2021
An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images
Zekun Li, Yao-Yi Chiang, Sasan Tavakkol +4
Historical maps contain detailed geographic information difficult to find elsewhere covering long-periods of time (e.g., 125 years for the historical topographic maps in the US). H…