The rise of real-time object detection and CNN models like YOLO is powering operational efficiency across ports, warehouses, ...

This paper proposes a Fast Region-based Convolutional Network method (Fast R-CNN) for object detection. Fast R-CNN builds on previous work to efficiently classify object proposals using deep ...

Can't download the pretrained weights for fast-rcnn_r50_fpn_1x_coco. I need the .pth file so I can add it to my config. Is there an obvious thing I'm missing as to why this model wouldn't have a ...

In order to more accurately detect the accuracy of word-wheel water meter digits, 2000 water meter pictures were produced, and an improved Faster-RCNN algorithm for detecting water meter digits was ...

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You should first extract region proposals. Therefore, you should first train an RPN, use the RPN to extract the region proposals of the dataset, set the path of proposals in your Fast RCNN config, ...

In this article, two new models, namely granulated RCNN (G-RCNN) and multi-class deep SORT (MCD-SORT), for object detection and tracking, respectively from videos are developed. Object detection has ...

Girshick, R. (2015) Fast-RCNN. Proceedings of the IEEE Conference on Computer Vision, Santiago, 7-13 December 2015, 1440-1448. has been cited by the following article: TITLE: Fine-Grained ...