In brief: Thanks to machine learning, object detection has come a long way in recent years, but most models still perform best on low-resolution video images. Now, researchers at Carnegie Mellon ...

Although deep learning has enabled massive strides in visual recognition tasks including object detection, most of these advances have been made in 2D object recognition. However, these improvements ...

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 ...

If you want high performance AI inference, such as Super-Resolution Object Detection and Recognition, in your SoC the challenge is to find a solution that can meet your needs and constraints. You need ...

(A) An example of the screen in the experimental video. The aircraft and carrier in the red box are targets, which are hidden in the layer, wave, and island. (B) Experimental paradigm. (C) ...

In a research paper, scientists from the Beijing Institute of Technology proposed an event-related potential (ERP) extraction method to solve the asynchronous problem of low-quality video target ...