Abstract: Modern diffusion-based image generative models have made significant progress and become promising to enrich training data for the object detection task. However, the generation quality and ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Westinghouse Air Brake Technologies Corporation, commonly known as Wabtec Corporation (NYSE:WAB), announced Monday it will acquire Frauscher Sensor Technology Group GmbH in a 675 million euros (~$729 ...

WESTMINSTER, Colo.--(BUSINESS WIRE)--Maxar Intelligence, the leading provider of secure, precise geospatial insights, announced today that it was awarded Delivery Order 01 under the Luno A program by ...

But that split was just the latest chapter in a long relationship between Google and Scale, which was fraught with lapses in security protocols for at least 11 months between March 2023 and April 2024 ...

The small-fry sicko accused of repeatedly raping a corpse on a Lower Manhattan subway was crafty enough to stop the act when the train hit stations to avoid detection, it surfaced in court Tuesday.

In recent years, underwater object detection (UOD) has become a prominent research area in the computer vision community. However, existing UOD approaches are still vulnerable to underwater ...

Disclaimer: LibGen contains errors. You may, for example, find books that list incorrect authors. This search tool is meant to reflect material that could be used to train AI programs, and that ...

A police officer stands on the platform in front of an ICE train in Elze, after around 450 people had to leave the train in the district of Hildesheim because of a suspicious envelope. Carsten ...

Forward-looking sonar object detection plays a vital role in marine applications such as underwater navigation, surveillance, and exploration, serving as an essential underwater acoustic detection ...

I perform a video test using best.pt saved from the model I am training. i think the performance of save models are arranged like this, 100 epoch > 90 epoch > 80 epoch.. but in real-time test ...