all AI news
UAVM: A Unified Model for Audio-Visual Learning. (arXiv:2208.00061v1 [cs.CV])
Aug. 2, 2022, 2:12 a.m. | Yuan Gong, Alexander H. Liu, Andrew Rouditchenko, James Glass
cs.CV updates on arXiv.org arxiv.org
Conventional audio-visual models have independent audio and video branches.
We design a unified model for audio and video processing called Unified
Audio-Visual Model (UAVM). In this paper, we describe UAVM, report its new
state-of-the-art audio-visual event classification accuracy of 65.8% on
VGGSound, and describe the intriguing properties of the model.
More from arxiv.org / cs.CV updates on arXiv.org
Retrieval-Augmented Egocentric Video Captioning
2 days, 6 hours ago |
arxiv.org
Mirror-Aware Neural Humans
2 days, 6 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US