Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

Caltech scientists have found a fast and efficient way to add up large numbers of Feynman diagrams, the simple drawings ...

Aiming at the challenges of low detection accuracy, susceptibility to complex background interference, difficulty in detecting small objects, and multi-scale object issues in aerial images, our ...

Object detection algorithm has gained broad attention, being recognized as an essential tasks within the realm of computer vision. Visual Transformer is an image analysis framework that uses a ...

Some frequent uses of object detection include self-driving automobiles, object tracking, face detection and identification, robotics, and license plate recognition. First, let’s have a peek at the ...

Figure 3. Diagrams representing the functionality of (A) the traditional OS-CFAR algorithm, and (B) the spiking OS-CFAR algorithm described in section 2.2. The diagrams show the N neighbor cells, G ...