论文信息 - Comparison of the YOLOv3 and Mask R-CNN architectures’ efficiency in the smart refrigerator’s computer vision - 字舞流文

Comparison of the YOLOv3 and Mask R-CNN architectures’ efficiency in the smart refrigerator’s computer vision

M G Dorrer | A E Tolmacheva

[1] M G Dorrer,et al. Puck tracking system for aerohockey game with YOLO2 , 2019 .

[2] R Deepa,et al. Comparison of Yolo, SSD, Faster RCNN for Real Time Tennis Ball Tracking for Action Decision Networks , 2019, 2019 International Conference on Advances in Computing and Communication Engineering (ICACCE).

[3] M G Dorrer,et al. Justification for choosing a single-board hardware computing platform for a neural network performing image processing , 2020 .

[4] Ramakant Nevatia,et al. NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).