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Method and apparatus for conserving computing resources required in the process of verifying the integrity of convolution parameters using a test pattern and improving defect tolerance and swing robustness in extreme situations
Method and apparatus for conserving computing resources required in the process of verifying the integrity of convolution parameters using a test pattern and improving defect tolerance and swing robustness in extreme situations
PROBLEM TO BE SOLVED: To save the computing resource required in the process of verifying the integrity of a convolution parameter using a test pattern. A background prediction unit is obtained when information about the (t-2)th image and the (t-1)th image corresponding to the (t-i2)th frame and the (t-i1)th frame of an image is obtained. , The information about the (t−2)th image and the (t−1)th image is referred to, the tth background prediction information of the tth image is generated, and when the tth image is acquired, the pattern insertion unit, With reference to the t-th background prediction information, a test pattern is inserted into the t-th image to generate a verification input, and a neural network is used to apply a convolution operation to the verification input to generate a verification output. The verification unit references the verification output and the reference output corresponding to the test pattern to determine the integrity of the neural network. [Selection diagram] Figure 2
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