Nov. 4, 2022, 1:15 a.m. | Yosuke Shinya

cs.CV updates on arXiv.org arxiv.org

Benchmarks, such as COCO, play a crucial role in object detection. However,
existing benchmarks are insufficient in scale variation, and their protocols
are inadequate for fair comparison. In this paper, we introduce the
Universal-Scale object detection Benchmark (USB). USB has variations in object
scales and image domains by incorporating COCO with the recently proposed Waymo
Open Dataset and Manga109-s dataset. To enable fair comparison and inclusive
research, we propose training and evaluation protocols. They have multiple
divisions for training epochs …

arxiv benchmark detection scale usb

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote