Nature

Prototype-oriented contrastive mean-teacher for unsupervised domain adaptive object detection

Object Detection (OD) has advanced significantly over recent decades due to deep convolutional neural networks, with models like YOLO 1 and Faster R-CNN 2 leading the way. However, their performance ...
GitHub

SonginCV/GMPHD-OGM_Tracker

An Online Multi-Object Tracking (MOT) Method with the GMPHD Filter and Occlusion Group Management (OGM). To implement a highly practical MOT method, online approach and real-time speed are required.
IEEE

Parallel Architecture for Low Latency UAV Detection and Tracking Using Robotic Telescopes

Abstract: This article presents the implementation of a multithreaded parallel architecture, which enables telescope-based optical unmanned aerial vehicle (UAV) detection and tracking in real time.
Frontiers

End-to-end system for monitoring the state of rivers using a drone

Automatic data analysis systems in the Internet of Things are a key element. One such case is the use of drones to monitor rivers, which are quite often located around built-up areas. This is an ...
Frontiers

MyopiaDETR: End-to-end pathological myopia detection based on transformer using 2D fundus images

Automated diagnosis of various retinal diseases based on fundus images can serve as an important clinical decision aid for curing vision loss. However, developing such an automated diagnostic solution ...
Nature

End-to-end deep learning framework for printed circuit board manufacturing defect classification

We report a complete deep-learning framework using a single-step object detection model in order to quickly and accurately detect and classify the types of manufacturing defects present on Printed ...