Program, information processing device, and information processing method
The program adjusts stride and dilation parameters within a single convolutional neural network model to balance computational complexity and accuracy, facilitating real-time processing on devices with varying computing powers.
JP7877265B2Active Publication Date: 2026-06-22KK TOSHIBA
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- KK TOSHIBA
- Filing Date
- 2023-04-13
- Publication Date
- 2026-06-22
AI Technical Summary
Technical Problem
Conventional frame skipping methods for neural networks fail to provide a flexible implementation for controlling the trade-off between computational amount and accuracy using a single model.
Method used
A program that functions as a memory control unit, conversion unit, first CNN unit, and second CNN unit, allowing for the conversion of stride and dilation parameters to adjust computational complexity and accuracy using a single convolutional neural network model.
Benefits of technology
Enables flexible implementation of a convolutional neural network model to control the trade-off between computational complexity and accuracy, enabling real-time processing on devices with varying computing powers while reducing memory requirements and development costs.
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Smart Images
Figure 0007877265000001 
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Abstract
To provide flexible implementation that performs control over a trade-off between computational complexity and precision using one model when a convolutional neural network model is used.SOLUTION: A program causes a computer to function as a storage control unit, a conversion unit, a first CNN unit, and a second CNN unit. The storage control unit reads a first stride parameter and a first dilation parameter from a storage device. The conversion unit uses a conversion parameter to convert the first stride parameter into a second stride parameter and also the first dilation parameter into a second dilation parameter. The first CNN unit uses at least the second stride parameter to execute first CNN processing on a feature vector. The second CNN unit uses at least the second dilation parameter to execute second CNN processing based upon the output vector of the first CNN unit as an input.SELECTED DRAWING: Figure 4
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Citation Information
Patent Citations
JP1989053917A
WO2021111633A1
WO2024053120A1