all AI news
LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion
April 2, 2024, 7:47 p.m. | Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang
cs.CV updates on arXiv.org arxiv.org
Abstract: Camouflaged vision perception is an important vision task with numerous practical applications. Due to the expensive collection and labeling costs, this community struggles with a major bottleneck that the species category of its datasets is limited to a small number of object species. However, the existing camouflaged generation methods require specifying the background manually, thus failing to extend the camouflaged sample diversity in a low-cost manner. In this paper, we propose a Latent Background Knowledge …
abstract applications arxiv collection community costs cs.cv datasets diffusion however images knowledge labeling lake major object perception practical retrieval retrieval-augmented small species type vision
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
Senior Principal, Product Strategy Operations, Cloud Data Analytics
@ Google | Sunnyvale, CA, USA; Austin, TX, USA
Data Scientist - HR BU
@ ServiceNow | Hyderabad, India