Video-Based Anomaly Detection, Urban Surveillance, Scale-Projective Ambiguity, Riemannian Manifold, Scale-Covariant Tracking, ...

Meta's new image segmentation models can identify objects and people and reconstruct them in 3D - SiliconANGLE ...

Near-infrared (NIR) photon detection and object recognition are crucial technologies for all-weather target identification.

Not in sight, but within hearing range: detecting and locating drones thanks to intelligent sensor data fusion ...

We put several robot vacuums from Roborock, Eufy, Dreame, and more through a series of mess tests to see which stood out.

Stanford researchers have developed an innovative computer vision model that recognizes the real-world functions of objects, potentially allowing autonomous robots to select and use tools more ...

Abstract: Transformer displays the impressive capabilities on vision tasks. The built-in self-attention retains the quadratic computation burden in respect of the spatial resolution of image features.

With the development of smart agriculture, fruit picking robots have attracted widespread attention as one of the key technologies to improve agricultural productivity. Visual perception technology ...

Department Guangzhou Key Laboratory of Analytical Chemistry for Biomedicine, GDMPA Key Laboratory for Process Control and Quality Evaluation of Chiral Pharmaceuticals, School of Chemistry, South China ...

ABSTRACT: 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 ...

a, Example of ISM-FLUX on nanorulers consisting of three fluorophores with 40 nm spacing between nearest neighbours. With a single-element detector, none of the nanorulers can be resolved, due to the ...

This project has many issues, so only use it as a reference, and feel free to open an issue or pull request if you have any solution. datasets/ ├── crops/ │ ├── ccpd_base/ │ │ ├── ccpd_base_000001.jpg ...