all AI news
Boosting Night-time Scene Parsing with Learnable Frequency. (arXiv:2208.14241v1 [cs.CV])
Aug. 31, 2022, 1:13 a.m. | Zhifeng Xie, Sen Wang, Ke Xu, Zhizhong Zhang, Xin Tan, Yuan Xie, Lizhuang Ma
cs.CV updates on arXiv.org arxiv.org
Night-Time Scene Parsing (NTSP) is essential to many vision applications,
especially for autonomous driving. Most of the existing methods are proposed
for day-time scene parsing. They rely on modeling pixel intensity-based spatial
contextual cues under even illumination. Hence, these methods do not perform
well in night-time scenes as such spatial contextual cues are buried in the
over-/under-exposed regions in night-time scenes. In this paper, we first
conduct an image frequency-based statistical experiment to interpret the
day-time and night-time scene discrepancies. …
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
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