SES-yolov5: small object graphics detection and visualization applications
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00371-024-03591-0.pdf
Reference45 articles.
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2. Mahaur, B., Mishra, K.K.: Small-object detection based on YOLOv5 in autonomous driving systems. Pattern Recogn. Lett. 168, 115–122 (2023). https://doi.org/10.1016/j.patrec.2023.03.009
3. Dai, L., Sheng, B., Chen, T., Wu, Q., Liu, R., Cai, C., Jia, W.: A deep learning system for predicting time to progression of diabetic retinopathy. Nature Med. (2024). https://doi.org/10.1038/s41591-023-02702-z
4. Zhang, Y., Zhang, H., Huang, Q., Han, Y., Zhao, M.: DsP-YOLO: an anchor-free network with DsPAN for small object detection of multiscale defects. Expert Syst. Appl. 241, 122669 (2024). https://doi.org/10.1016/j.eswa.2023.122669
5. Park, J.J., Park, K.A., Kim, T.S., Oh, S., Lee, M.: Aerial hyperspectral remote sensing detection for maritime search and surveillance of floating small objects. Adv. Space Res. 72(6), 2118–2136 (2023). https://doi.org/10.1016/j.asr.2023.06.055
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