all AI news
BCFPL: Binary classification ConvNet based Fast Parking space recognition with Low resolution image
April 23, 2024, 4:47 a.m. | Shuo Zhang, Xin Chen, Zixuan Wang
cs.CV updates on arXiv.org arxiv.org
Abstract: The automobile plays an important role in the economic activities of mankind, especially in the metropolis. Under the circumstances, the demand of quick search for available parking spaces has become a major concern for the automobile drivers. Meanwhile, the public sense of privacy is also awaking, the image-based parking space recognition methods lack the attention of privacy protection. In this paper, we proposed a binary convolutional neural network with lightweight design structure named BCFPL, which …
abstract arxiv automobile become binary classification cs.ai cs.cv demand drivers economic image low major metropolis parking public recognition resolution role search sense space spaces type
More from arxiv.org / cs.CV updates on arXiv.org
Compact 3D Scene Representation via Self-Organizing Gaussian Grids
2 days, 15 hours ago |
arxiv.org
Fingerprint Matching with Localized Deep Representation
2 days, 15 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
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