ORNL’s “black box” grid modeling method protects proprietary information about the inner workings of equipment while ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

Use precise geolocation data and actively scan device characteristics for identification. This is done to store and access information on a device and to provide personalised ads and content, ad and ...

Object recognition software is used by law enforcement to help identify suspects, by self-driving cars to navigate roadways ...

Researchers have applied object recognition technology to track changes in brain cell structure and provide new insights into how the brain responds to heroin use, withdrawal and relapse.

LOP associations are modeled by explicitly encoding object and layout information, while a Large Foundation Model (LFM) technique allows for efficient training without extensive annotations. The ...

The new technique relies on removing a small portion of the data used to train the AI model. "There can be significant variation in the data samples included in training datasets," Kim says. "Some of ...

This letter proposes a new approach that integrates fixture removal into the modeling procedure by combining time-domain reflection and convolutional neural network techniques. The proposed approach ...

Season your cutting boards with proper techniques. Donald Trump authorizes ... transatlantic travel New video of unidentified flying object recorded near California released Big Changes Are ...