Digital integrated circuit (IC) for extracting features out of input image is disclosed. The IC
contains one or more identical cellular neural networks (CNN) processing engines …

CNN based integrated circuit is configured with a set of pre-trained filter coefficients or
weights as a feature extractor of an input data. Multiple fully-connected networks (FCNs) are …

Method and systems of replacing operations of depthwise separable filters with first and
second replacement convolutional layers are disclosed. Depthwise separable filters …

Data arrangement schemes of imagery data and filter coefficients stored in a CNN based
digital IC for extracting features out of an input image are disclosed. The CNN based digital …

Operations of a combination of first and second original convolutional layers followed by a
short path are replaced by operations of a set of three particular convolutional layers. The …

Embodiments of the present disclosure disclose a method and apparatus for facial
recognition. A specific embodiment of the method comprises: extracting a to-be-recognized …

Techniques for increasing robustness of a convolutional neural network based on training
that uses multiple datasets and multiple tasks are described. For example, a computer …

Methods, systems, and apparatus, including computer programs encoded on computer
storage media, for generating object detection predictions from a neural network. In some …

(57) ABSTRACT A method for locating and tracking facial features in an unconstrained video
sequence includes: in a face-detecting process, delineating, with region-bounding …

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S (= O)(= O) CCCCN1C2= CC= C3C= CC= CC3= C2C (C)(C) C1= CC= CC= CC …