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 ...
Video object segmentation and saliency detection are pivotal research domains within computer vision, addressing the automated separation of foreground objects from complex backgrounds in dynamic ...
Object detection is the process of finding moving objects such as human beings, animals and vehicles in videos. Object detection algorithms typically use extracted features and learning algorithms to ...
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 ...
Researchers at the University of Missouri (MU) are developing software that would enable computers to perform video analysis tasks, such as alerting emergency services if a video surveillance camera ...
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 ...
(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) ...
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 ...
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