OBJECT DETECTION WITH NEURAL NETWORK
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Accused Products
Abstract
According to an example aspect of the present invention, there is provided an apparatus comprising at least one processing core and at least one memory including computer program code, the at least one memory and the computer program code being configured to, with the at least one processing core, cause the apparatus at least to nm a convolutional neural network comprising an input layer arranged to provide signals to a first convolutional layer and a last convolutional layer, run a first intermediate classifier, the first intermediate classifier operating on a set of feature maps of the first convolutional layer, and decide to abort or to continue processing of a signal set based on a decision of the first intermediate classifier.
15 Citations
45 Claims
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1-25. -25. (canceled)
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26. An apparatus comprising at least one processing core and at least one memory including computer program code, the at least one memory and the computer program code being configured to, with the at least one processing core, cause the apparatus at least to:
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run a convolutional neural network comprising an input layer arranged to provide signals to a first convolutional layer and a last convolutional layer; run a first intermediate classifier, the first intermediate classifier operating on a set of feature maps of the first convolutional layer, and decide to abort or to continue processing of a signal set based on a decision of the first intermediate classifier. - View Dependent Claims (27, 28, 29, 30, 31, 32, 33, 34, 35, 36)
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37. A method comprising:
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running a convolutional neural network comprising an input layer arranged to provide signals to a first convolutional layer and a last convolutional layer; running a first intermediate classifier, the first intermediate classifier operating on a set of feature maps of the first convolutional layer, and deciding to abort or to continue processing of a signal set based on a decision of the first intermediate classifier. - View Dependent Claims (38, 39, 40, 41, 42, 43, 44)
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45. A non-transitory computer readable medium having stored thereon a set of computer readable instructions that, when executed by at least one processor, cause an apparatus to at least:
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run a convolutional neural network comprising an input layer arranged to provide signals to a first convolutional layer and a last convolutional layer; run a first intermediate classifier, the first intermediate classifier operating on a set of feature maps of the first convolutional layer, and decide to abort or to continue processing of a signal set based on a decision of the first intermediate classifier
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Specification