3D Attention Based YOLO-SWINF for Real-Time Video Object Detection
- DOI
- 10.1007/978-3-031-34111-3_41
- Published
- 2023
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer Nature Switzerland
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-34111-3_41,
title = {3D Attention Based YOLO-SWINF for Real-Time Video Object Detection},
author = {Pradeep Moturi and Mukund Khanna and Kunal Singh},
year = {2023},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-031-34111-3_41},
url = {https://doi.org/10.1007/978-3-031-34111-3_41}
}RIS
TY - JOUR TI - 3D Attention Based YOLO-SWINF for Real-Time Video Object Detection AU - Pradeep Moturi AU - Mukund Khanna AU - Kunal Singh PY - 2023 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-031-34111-3_41 UR - https://doi.org/10.1007/978-3-031-34111-3_41 ER -
APA
Moturi, P., Khanna, M., & Singh, K. (2023). 3D Attention Based YOLO-SWINF for Real-Time Video Object Detection. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-031-34111-3_41
Source records
- crossref · retrieved 2026-09-25T18:34:46.309Z