all AI news
G-Rep: Gaussian Representation for Arbitrary-Oriented Object Detection. (arXiv:2205.11796v1 [cs.CV])
May 25, 2022, 1:12 a.m. | Liping Hou, Ke Lu, Xue Yang, Yuqiu Li, Jian Xue
cs.CV updates on arXiv.org arxiv.org
Arbitrary-oriented object representations contain the oriented bounding box
(OBB), quadrilateral bounding box (QBB), and point set (PointSet). Each
representation encounters problems that correspond to its characteristics, such
as the boundary discontinuity, square-like problem, representation ambiguity,
and isolated points, which lead to inaccurate detection. Although many
effective strategies have been proposed for various representations, there is
still no unified solution. Current detection methods based on Gaussian modeling
have demonstrated the possibility of breaking this dilemma; however, they
remain limited to OBB. …
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Principal Machine Learning Engineer (AI, NLP, LLM, Generative AI)
@ Palo Alto Networks | Santa Clara, CA, United States
Consultant Senior Data Engineer F/H
@ Devoteam | Nantes, France