all AI news
D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding. (arXiv:2112.01551v2 [cs.CV] UPDATED)
July 25, 2022, 1:13 a.m. | Dave Zhenyu Chen, Qirui Wu, Matthias Nießner, Angel X. Chang
cs.CV updates on arXiv.org arxiv.org
Recent studies on dense captioning and visual grounding in 3D have achieved
impressive results. Despite developments in both areas, the limited amount of
available 3D vision-language data causes overfitting issues for 3D visual
grounding and 3D dense captioning methods. Also, how to discriminatively
describe objects in complex 3D environments is not fully studied yet. To
address these challenges, we present D3Net, an end-to-end neural
speaker-listener architecture that can detect, describe and discriminate. Our
D3Net unifies dense captioning and visual grounding …
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
Data Strategy & Management - Private Equity Sector - Manager - Consulting - Location OPEN
@ EY | New York City, US, 10001-8604
Data Engineer- People Analytics
@ Volvo Group | Gothenburg, SE, 40531