ABSTRACT: One of the most basic and difficult areas of computer vision and image understanding applications is still object detection. Deep neural network models and enhanced object representation ...

Project is meant to provide a simple yet powerful baseline for multiple object tracking without the hassle of writing the obvious algorithm stack yourself. - tracking by detection paradigm ... on a ...

It is an object detection model working on a single frame at a time ... Sometimes the same person might be doing multiple activities like watching a person while standing. The model produces separate ...

The experiments used in this paper is Python 3.9, Torch 1.11 ... Skip DETR has achieved competitive results on multiple evaluation indicators. And compared to several other different object detection ...

When compared to YOLO, object detection algorithms back then used Region Proposal Networks to detect possible regions of interest. The recognition process was then performed on each region separately.

Abstract: The study of remote sensing image object detection has excellent ... First, we use the method of multiple receptive field feature map generation to convert the input feature map into four ...