all AI news
Feature Compression for Rate Constrained Object Detection on the Edge. (arXiv:2204.07314v1 [eess.IV])
April 18, 2022, 1:10 a.m. | Zhongzheng Yuan, Samyak Rawlekar, Siddharth Garg, Elza Erkip, Yao Wang
cs.CV updates on arXiv.org arxiv.org
Recent advances in computer vision has led to a growth of interest in
deploying visual analytics model on mobile devices. However, most mobile
devices have limited computing power, which prohibits them from running large
scale visual analytics neural networks. An emerging approach to solve this
problem is to offload the computation of these neural networks to computing
resources at an edge server. Efficient computation offloading requires
optimizing the trade-off between multiple objectives including compressed data
rate, analytics performance, and computation …
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 AI Engineer, EdTech (Remote)
@ Lightci | Toronto, Ontario
Data Scientist for Salesforce Applications
@ ManTech | 781G - Customer Site,San Antonio,TX
AI Research Scientist
@ Gridmatic | Cupertino, CA
Data Engineer
@ Global Atlantic Financial Group | Boston, Massachusetts, United States
Machine Learning Engineer - Conversation AI
@ DoorDash | Sunnyvale, CA; San Francisco, CA; Seattle, WA; Los Angeles, CA