A United Airlines passenger jet nearly collided with a drone as it was coming in to land in New Jersey, its pilot said.

Abstract: Object proposals are used in two-stage detectors, such as R-CNN, to generate detection results, including category predictions and refined bounding-boxes. As a result, classification scores ...

Military dolphins have long been used to detect mines and intruders Add as a preferred source on Google In this photo released by the US Navy on March 24, 2003, a trained bottlenose dolphin belonging ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Loads the trained Faster R-CNN model. Reads the input video frame by frame. For frames with weapons detected above a confidence threshold, saves the frame to a folder. Names the frames with the ...

Monocular 3D object detection is an essential task in computer vision, and it has several applications in robotics and virtual reality. However, 3D object detectors are typically trained in a fully ...

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Deep learning techniques for automatically detecting teeth in dental X-rays have gained popularity, providing valuable assistance to healthcare professionals. However, teeth detection in X-ray images ...

Abstract: Salient object detection in hyperspectral images (HSIs) is of interest in various image processing and computer vision applications. Many studies considering spectral information have been ...