all AI news
Anchor DETR: Query Design for Transformer-Based Object Detection. (arXiv:2109.07107v2 [cs.CV] UPDATED)
Jan. 5, 2022, 2:10 a.m. | Yingming Wang, Xiangyu Zhang, Tong Yang, Jian Sun
cs.CV updates on arXiv.org arxiv.org
In this paper, we propose a novel query design for the transformer-based
object detection. In previous transformer-based detectors, the object queries
are a set of learned embeddings. However, each learned embedding does not have
an explicit physical meaning and we cannot explain where it will focus on. It
is difficult to optimize as the prediction slot of each object query does not
have a specific mode. In other words, each object query will not focus on a
specific region. To …
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
Data Architect
@ Western Digital | San Jose, CA, United States
Senior Data Scientist GenAI (m/w/d)
@ Deutsche Telekom | Bonn, Deutschland
Senior Data Engineer, Telco (Remote)
@ Lightci | Toronto, Ontario
Consultant Data Architect/Engineer H/F - Innovative Tech
@ Devoteam | Lyon, France
(Senior) ML Engineer / Software Engineer Machine Learning & AI (m/f/x) onsite or remote (in Germany or Austria)
@ Scalable GmbH | Wien, Germany