Abstract: 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 ...

This repo has been deprecated. Here is the complete codes for training Faster-RCNN on your data and using the pre-trained Faster-RCNN model for new data: ChainerCV This is an experimental ...

Abstract: 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 ...

Multi-label attribute recognition is a critical task in computer vision, with applications ranging across diverse fields. This problem often involves detecting objects with multiple attributes, ...

Note: I re-implemented faster rcnn in this project when I started learning PyTorch. Then I use PyTorch in all of my projects. I still remember it costed one week for me to figure out how to build cuda ...

Pest disaster severely reduces crop yield and recognizing them remains a challenging research topic. Existing methods have not fully considered the pest disaster characteristics including object ...

1 Tennessee Department of Transportation, Nashville, Tennessee, USA. 2 University of Tennessee at Chattanooga, Chattanooga, Tennessee, USA. 3 Maryland Department of Transportation, Baltimore, Maryland ...