Abstract: Autonomous aerial vehicle (AAV) object detection in aerial images presents substantial value but also considerable challenges. UAV images often exhibit characteristics such as a high ...
Prostate cancer affects one in eight men in the U.S. over their lifetime, which is the same rate as women and breast cancer. Yet, comparatively, it remains widely misunderstood. In 2026 alone, an ...
Start with a foggy image. Apply a dehazing model to remove fog. Pass the dehazed image through YOLO for object detection. Compare the original foggy image, the dehazed result, and the YOLO-detected ...
I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...
Microsoft Defender Security Research has observed a widespread phishing campaign leveraging the device code authentication flow to compromise organizational accounts at scale. While traditional device ...
EdgeEnhance-YOLO: A Lightweight Small Object Detection Model with Multi-Dimensional Edge Enhancement
Abstract: Small object detection faces multiple challenges, including high-frequency information degradation, complex back ground interference, and low target resolution, which frequently lead to ...
Given image, point cloud, and calibration file, the demo file conducts 3D object detection/tracking and saves the results. # 1. 3D object detection demo, results are saved at demo/results folder. # if ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results