all AI news
GLASS: Global to Local Attention for Scene-Text Spotting. (arXiv:2208.03364v1 [cs.CV])
Aug. 9, 2022, 1:12 a.m. | Roi Ronen, Shahar Tsiper, Oron Anschel, Inbal Lavi, Amir Markovitz, R. Manmatha
cs.CV updates on arXiv.org arxiv.org
In recent years, the dominant paradigm for text spotting is to combine the
tasks of text detection and recognition into a single end-to-end framework.
Under this paradigm, both tasks are accomplished by operating over a shared
global feature map extracted from the input image. Among the main challenges
that end-to-end approaches face is the performance degradation when recognizing
text across scale variations (smaller or larger text), and arbitrary word
rotation angles. In this work, we address these challenges by proposing …
More from arxiv.org / cs.CV updates on arXiv.org
Compact 3D Scene Representation via Self-Organizing Gaussian Grids
1 day, 23 hours ago |
arxiv.org
Fingerprint Matching with Localized Deep Representation
1 day, 23 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
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