YOLACT
Date and Time
2021-08-05 3:30 오후
Place
24205 (on-line)
Speaker(s)
Ilho, Oh
Overview
Introducing the YOLACT, a DNN architecture for instance segmentation.
YouTube
권한이 없습니다. 로그인 부탁드립니다. You don't have permission to access. Please login.
Reference(s)
Bolya, Daniel, et al. “Yolact: Real-time instance segmentation.” Proceedings of the IEEE/CVF International Conference on Computer Vision. 2019.
He, Kaiming, et al. “Deep residual learning for image recognition.” Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.
Lin, Tsung-Yi, et al. “Feature pyramid networks for object detection.” Proceedings of the IEEE conference on computer vision and pattern recognition. 2017.
Liu, Wei, et al. “Ssd: Single shot multibox detector.” European conference on computer vision. Springer, Cham, 2016.
He, Kaiming, et al. “Deep residual learning for image recognition.” Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.
Lin, Tsung-Yi, et al. “Feature pyramid networks for object detection.” Proceedings of the IEEE conference on computer vision and pattern recognition. 2017.
Liu, Wei, et al. “Ssd: Single shot multibox detector.” European conference on computer vision. Springer, Cham, 2016.
Seminar Material
Has this presenter uploaded material to Lab Synology?
Yes.
File Station > Seminar Materials > Lab Seminar Materials