all AI news
BasicTAD: an Astounding RGB-Only Baseline for Temporal Action Detection. (arXiv:2205.02717v1 [cs.CV])
Web: http://arxiv.org/abs/2205.02717
May 6, 2022, 1:10 a.m. | Min Yang, Guo Chen, Yin-Dong Zheng, Tong Lu, Limin Wang
cs.CV updates on arXiv.org arxiv.org
Temporal action detection (TAD) is extensively studied in the video
understanding community by following the object detection pipelines in images.
However, complex designs are not uncommon in TAD, such as two-stream feature
extraction, multi-stage training, complex temporal modeling, and global context
fusion. In this paper, we do not aim to introduce any novel technique for TAD.
Instead, we study a simple, straightforward, yet must-known baseline given the
current status of complex design and low efficiency in TAD. In our simple …
More from arxiv.org / cs.CV updates on arXiv.org
Latest AI/ML/Big Data Jobs
Director, Applied Mathematics & Computational Research Division
@ Lawrence Berkeley National Lab | Berkeley, Ca
Business Data Analyst
@ MainStreet Family Care | Birmingham, AL
Assistant/Associate Professor of the Practice in Business Analytics
@ Georgetown University McDonough School of Business | Washington DC
Senior Data Science Writer
@ NannyML | Remote
Director of AI/ML Engineering
@ Armis Industries | Remote (US only), St. Louis, California
Digital Analytics Manager
@ Patagonia | Ventura, California