all AI news
Scene Graph Generation: A Comprehensive Survey. (arXiv:2201.00443v2 [cs.CV] UPDATED)
June 23, 2022, 1:13 a.m. | Guangming Zhu, Liang Zhang, Youliang Jiang, Yixuan Dang, Haoran Hou, Peiyi Shen, Mingtao Feng, Xia Zhao, Qiguang Miao, Syed Afaq Ali Shah, Mohammed Be
cs.CV updates on arXiv.org arxiv.org
Deep learning techniques have led to remarkable breakthroughs in the field of
generic object detection and have spawned a lot of scene-understanding tasks in
recent years. Scene graph has been the focus of research because of its
powerful semantic representation and applications to scene understanding. Scene
Graph Generation (SGG) refers to the task of automatically mapping an image
into a semantic structural scene graph, which requires the correct labeling of
detected objects and their relationships. Although this is a challenging …
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Senior Manager, IT Ops & Service Management, AI/ML
@ Sephora | San Francisco, CA, US, 50302863
AI/ML Senior Software Engineer (Indonesia)
@ Bjak | Jakarta, Jakarta, Indonesia
Data Engineer
@ Accenture Federal Services | Laurel, MD
Principal Engineer, Deep Learning
@ Outrider | Montreal, Quebec
Consultant Data manager F/H
@ Atos | Bezons, FRANCE, FR, 95870