Synaptics Incorporated
MULTI-OBJECT DETECTION WITH SINGLE DETECTION PER OBJECT

Abstract:

Systems and methods for classification of data comprise optimizing a neural network by minimizing a rhino loss function, including receiving a training batch of data samples comprising a plurality of samples for each of a plurality of classifications, extracting features from the samples to generate a batch of features, processing the batch of features using a neural network to generate a plurality of classifications to differentiate the samples, computing a rhino loss value for the training batch based, at least in part, on the classifications, and modifying weights of the neural network to reduce the rhino loss value.