Steered Training Data Generation for Learned Semantic Type Detection
Abstract
Supplemental Material
- Download
- 174.03 MB
References
Index Terms
- Steered Training Data Generation for Learned Semantic Type Detection
Recommendations
Large-scale Semantic Integration of Linked Data: A Survey
A large number of published datasets (or sources) that follow Linked Data principles is currently available and this number grows rapidly. However, the major target of Linked Data, i.e., linking and integration, is not easy to achieve. In general, ...
Few training data for Objection Detection
EITCE '20: Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer EngineeringDeep learning method of object detection has achieved excellent results, but most of the object detection network training processes are supervised learning. The performance improvement is driven by a large amount of annotation data to drive deeper and ...
Boosting LiDAR-Based Semantic Labeling by Cross-modal Training Data Generation
Computer Vision – ECCV 2018 WorkshopsAbstractMobile robots and autonomous vehicles rely on multi-modal sensor setups to perceive and understand their surroundings. Aside from cameras, LiDAR sensors represent a central component of state-of-the-art perception systems. In addition to accurate ...
Comments
Information & Contributors
Information
Published In

Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Author Tags
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 210Total Downloads
- Downloads (Last 12 months)71
- Downloads (Last 6 weeks)4
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in