FRCNN (faster region convolutional neural network) and SSD (single shot multibox detector) for ear detection task. To test the model's generalization, these are evaluated on six different benchmark datasets, viz. IITD, IITK, USTB-DB3, UND-E, UND-J2 and UBEAR, and each one of the ...
Zhang D, Dai X, Wang X, Wang Y-F (2018) S3d: Single shot multi-span detector via fully 3d convolutional network. In: 2018 British machine vision conference (BMVC). arXiv:1807.08069 Liu W, Anguelov D, Erhan D, Szegedy C, Reed S, Fu C-Y, Berg A-C (2016) Ssd: single shot multi...
Fang, L., Zhao, X., Zhang, S.: Small-objectness sensitive detection based on shifted single shot detector. Multimedia Tools Appl. 78(10), 13227–13245 (2019) Article Google Scholar Meng, Z., Fan, X., Chen, X., Chen, M., Tong, Y.: Detecting small signs from large images. In:...
SSD: Single Shot MultiBox Detector. In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Leibe, B., Matas, J., Welling, M., Sebe, N., Eds.; Springer: Berlin/Heidelberg, Germany, 2016; pp. 21–37. [...
This is is a robust detector that finds small faces with high efficiency. We also use SSD detection [43] trained on the VOC dataset to detect person candidates. For every face candidate, we find the person candidate that yields the smallest intersect over union (IoU) score. If this is ...
Ssd: Single shot multibox detector. In European Conference on Computer Vision; Springer: Berlin/Heidelberg, Germany, 2016; pp. 21–37. [Google Scholar] Jocher, G. YOLOv5 Source Code. Available online: https://github.com/ultralytics/yolov5 (accessed on 1 August 2022). Zhu, X.; Lyu, S...