Abstract: Underwater Small object detection and classification are crucial for ecological monitoring, yet traditional algorithms struggle with underwater image complexity, including low visibility and ...

KANSAS CITY, MO, UNITED STATES, March 6, 2026 /EINPresswire.com/ — Sharla Riead is the Chair of the RESNET Standards Development Committee SDC 200 and is ...

During its mission, Stardust captured an impact traveling at a velocity nearly 19 times the speed of sound—far faster than mission planners ever anticipated. The strike left sensors rattled and data ...

Fast-moving object approaching Earth | Newsmaker In this episode of Newsmaker, FOX 10's John Hook speaks with Harvard physicist Avi Loeb about a fast-moving object approaching Earth, and then with ...

Abstract: Numerous object detection algorithms, such as Faster RCNN, YOLO and SSD, have been extensively applied to various fields. Both accuracy and speed of the algorithms have been significantly ...

Thousands of Southern California residents are under evacuation orders Wednesday as fire crews battle the out-of-control Hughes Fire near the town of Castaic, a suburb in the foothills and mountains ...

When you were five, you probably spotted your best friend running at “a million miles an hour” when they beat everybody at the local athletics meet. You probably haven’t seen anything that fast snice.

There's a new exploit making its way through TikTok and it has already compromised the official accounts of Paris Hilton, CNN and others, as reported by Forbes. It's ...

This dataset and code is an implementation of "NIRPed: A Novel Benchmark for Nighttime Pedestrian and Its Distance Joint Detection" published in IEEE-TITS.

A Tensorflow implementation of faster RCNN detection framework by Xinlei Chen (xinleic@cs.cmu.edu). This repository is based on the python Caffe implementation of faster RCNN available here. Note: You ...