This project demonstrates object detection using the MobileNet-SSD model, a pre-trained deep learning model capable of detecting multiple objects in an image ... boxes and labels on the input image.

Our dataset, named SalMoN (saliency in multi-object natural images), has 588 images containing multiple ... to detect all multi-level salient objects apart fromthe salient object class detection ...

The latest research on this area has been making great progress in many directions ... consider the detection of a single object class (e.g., faces) and from a single view (e.g., frontal faces), ...

Researchers have been studying the possibilities of giving machines the ability to distinguish and identify objects through vision for years now. This particular domain, called Computer Vision or CV, ...

Handling collision detection is a fundamental aspect of game development, particularly in Python-based games where you have to manage interactions between objects. Collision detection allows your ...

a 3D bounding-box merging strategy coupled with an overlap criterion are used to combine multiple 3D region proposals into a single 3D object prediction for the purpose of classification and ...