Before FasterRcnn, the target detection networks rely on the region proposal algorithm to assume the location of targets, such as SPPnet and Fast R-CNN. Progress has reduced the running time of these ...

Abstract: Brace sleeve screws are an important component of catenary support devices in high-speed railways. According to the statistical data, there is a much risk for failure of brace sleeve screws ...

Donald Trump argued that the Ukraine war was the result of “stupidity,” insisting the conflict would not have erupted if he were in office. Weather warning issued before Chiefs-Texans game Sunday ...

What starts as a simple meetup with Gypsy Fishing quickly turns into a full-on monster catching spree. The bites are aggressive, the runs are long, and the fish don’t give up easily. Every moment ...

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 ...

A Tensorflow implementation of faster RCNN detection framework by Xinlei Chen ([email protected]). This repository is based on the python Caffe implementation of faster RCNN available here. Note: You ...

The recent and rapid development of powerful machine learning models for computer vision has boosted 2D and 3D human pose estimation performance from RGB cameras, LiDAR, and radar inputs. These ...

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 ...