摘要:
A method of address translation of images and filters to virtual matrices to perform a convolution by matrix multiplication includes receiving an image and a filter. Each image and filter has a memory address. The method also includes mapping the memory addresses to virtual matrix addresses based on a calculated linearized image and a calculated linearized filter. The method further includes converting data in the virtual matrix to a predefined internal format. The method still further includes convolving the image by matrix multiplication of the data in the predefined internal format based on the virtual matrix addresses.
摘要:
Context-based priors are utilized in machine learning networks (e.g., neural networks) for detecting objects in images. The likely locations of objects are estimated based on context labels. A machine learning network identifies a context label of an entire image. Based on the, the network selects a set of likely regions for detecting objects of interest in the image.