context-based prioris for object detection in images

摘要

Context-based prioris are used in machine learning networks (eg neural networks) to detect objects in images. likely object locations are estimated based on context labels. A machine learning network identifies a context label of an entire image. Based on this, the network selects a set of likely regions to detect objects of interest in the image.