all AI news
Boosting R-CNN: Reweighting R-CNN Samples by RPN's Error for Underwater Object Detection. (arXiv:2206.13728v3 [cs.CV] UPDATED)
Oct. 6, 2022, 1:15 a.m. | Pinhao Song, Pengteng Li, Linhui Dai, Tao Wang, Zhan Chen
cs.CV updates on arXiv.org arxiv.org
Complicated underwater environments bring new challenges to object detection,
such as unbalanced light conditions, low contrast, occlusion, and mimicry of
aquatic organisms. Under these circumstances, the objects captured by the
underwater camera will become vague, and the generic detectors often fail on
these vague objects. This work aims to solve the problem from two perspectives:
uncertainty modeling and hard example mining. We propose a two-stage underwater
detector named boosting R-CNN, which comprises three key components. First, a
new region proposal …
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
AI Research Scientist
@ Vara | Berlin, Germany and Remote
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
Senior Machine Learning Engineer
@ Samsara | Canada - Remote