An efficient weakly semi-supervised method for object automated annotation
Author:
Funder
Shenzhen Fundamental Research fund
Natural Science Foundation of Guangdong Province
NSFC
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15305-0.pdf
Reference64 articles.
1. Adhikari B, Peltomaki J, Puura J, Huttunen H (2018) Faster bounding box annotation for object detection in indoor scenes. In: 2018 7th European Workshop on Visual Information Processing (EUVIP), pp 1–6
2. Adhikari B, Huttunen H (2021) Iterative bounding box annotation for object detection. In: 2020 25th International Conference on Pattern Recognition (ICPR), pp 4040–4046
3. Adhikari B, Rahtu E, Huttunen H (2021) Sample selection for efficient image annotation. In: 2021 9th European Workshop on Visual Information Processing (EUVIP), pp 1–6
4. Akhilesh K, Sedamkar RR (2016) Automatic image annotation using an ant colony optimization algorithm (aco). In: 2016 IEEE 7th Power India International Conference (PIICON), pp 1–4
5. Anjum S, Verma A, Dang B, Gurari D (2021) Exploring the use of deep learning with crowdsourcing to annotate images. Human Comput 8 (2):76–106
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