Object Detection Using YOLOv4 and PSO-CNN
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-69197-3_22
Reference12 articles.
1. Diwan, T., Anirudh, G., Tembhurne, J.V.: Object detection using YOLO: Challenges, architectural successors, datasets and applications. Multimedia Tools Appl. 82(6), 9243–9275 (2023)
2. Goel, L., Mishra, S.: A hybrid of modified YOLOv3 with BBO/EE optimizer for lung cancer detection. Multimedia Tools Appl., 1–33 (2023)
3. Liao, H., Zhu, W.: YOLO-DRS a bioinspired object detection algorithm for remote sensing images incorporating a multi-scale efficient lightweight attention mechanism. Biomimetics 8(6), 458 (2023)
4. Samma, H., Sama, A.S.B.: Optimized deep learning vision system for human action recognition from drone images. Multimedia Tools Appl. 83(1), 1143–1164 (2024)
5. Yawale, N., Sahu, N., Khalsa, N. Design of a high-density bio-inspired feature analysis deep learning model for sub-classification of natural & synthetic imagery. Multimedia Tools Appl., 1–26 (2023)
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