The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...
The pipeline of the proposed Motion Cue Fusion Network (MCFNet) is as follows. Voxels generated from raw event streams are first processed by the Event Correction Module (ECM) to produce high-quality ...
Robotic vision, a cornerstone of modern robotics, enables machines to interpret and respond to their surroundings effectively. This capability is achieved through image processing and object ...
Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...
This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...
Google is releasing a new TensorFlow object detection API to make it easier for developers and researchers to identify objects within images. Google is trying to offer the best of simplicity and ...
18 years into the new millennium, there are a number of exciting and evolving electronic innovations taking place. Among them is the development of ‘intelligent’ robots for industry, especially in ...
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