Machine Learning Models: Using algorithms like neural networks and random forests, these models train prediction models from large samples of match data, gradually improving accuracy. This shift marks ...

*Equal Contribution. This work was done while Xiankang He was visiting Westlake University. We present Distill-Any-Depth, a new SOTA monocular depth estimation model trained with our proposed ...

This transcript was prepared by a transcription service. This version may not be in its final form and may be updated. Annie Minoff: A few years ago, Derek Mobley was working in IT. He loved his job ...

Commanders Find Running Back Depth in 2026 NFL Mock Draft originally appeared on Athlon Sports. The Washington Commanders are coming off an impressive 2024 campaign that saw the team appear in an NFC ...

Add a description, image, and links to the unsupervised-depth-estimation topic page so that developers can more easily learn about it.

School of Aero Engine, Zhengzhou University of Aeronautics, Zhengzhou, 450046, China Henan Key Laboratory of General Aviation Technology, Zhengzhou University of Aeronautics, Zhengzhou, Henan 450046, ...

Steelers Could Find Defensive Depth with Home-Grown Talent originally appeared on Athlon Sports. As the Pittsburgh Steelers and general manager Omar Khan continue to make moves to improve the team ...

This paper presents a general framework that integrates visual and acoustic sensor data to enhance localization and mapping in complex, highly dynamic underwater environments, with a particular focus ...

CLEVELAND, Ohio — Daniel Schneemann’s journey to major league relevance isn’t your typical baseball story. The 28-year-old utility player, who didn’t reach Cleveland until an age when many prospects ...