LabelAR
Author:
Affiliation:
1. University of California, Berkeley, Berkeley, CA, USA
Funder
National Geospatial-Intelligence Agency
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3332165.3347927
Reference39 articles.
1. Overview based example selection in end user interactive concept learning
2. Fluid Annotation
3. A Survey of 3D Object Selection Techniques for Virtual Environments;Sanz Ferran Argelaguet;Computers and Graphics,2013
4. Sven Bambach David J. Crandall Linda B. Smith and Chen Yu. 2018. Toddler-Inspired Visual Object Learning. In NeurIPS. Sven Bambach David J. Crandall Linda B. Smith and Chen Yu. 2018. Toddler-Inspired Visual Object Learning. In NeurIPS.
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1. BiGuide: A Bi-level Data Acquisition Guidance for Object Detection on Mobile Devices;2024 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN);2024-05-13
2. Interactive 3D Annotation of Objects in Moving Videos from Sparse Multi-view Frames;Proceedings of the ACM on Human-Computer Interaction;2023-10-31
3. MRLabeling: Create RGB-D Datasets On-The-Fly using Mixed Reality;2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct);2023-10-16
4. Demo Abstract: BiGuide: A Bi-level Data Acquisition Guidance for Object Detection on Mobile Devices;The 22nd International Conference on Information Processing in Sensor Networks;2023-05-09
5. Continual Learning about Objects in the Wild: An Interactive Approach;INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION;2022-11-07
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