13 citations · 20 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 13 cited
Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual Categorization
Matthew Gwilliam, Adam Teuscher, Connor Anderson +1
For the task of image classification, researchers work arduously to develop the next state-of-the-art (SOTA) model, each bench-marking their own performance against that of their p…
cs.DB2021
Optimally Summarizing Data by Small Fact Sets for Concise Answers to Voice Queries
Immanuel Trummer, Connor Anderson
Our goal is to find combinations of facts that optimally summarize data sets. We consider this problem in the context of voice query interfaces for simple, exploratory data analysi…
cs.CV2020★ 7 cited
Facing the Hard Problems in FGVC
Connor Anderson, Matt Gwilliam, Adam Teuscher +2
In fine-grained visual categorization (FGVC), there is a near-singular focus in pursuit of attaining state-of-the-art (SOTA) accuracy. This work carefully analyzes the performance…