| CPC G06V 10/7792 (2022.01) [G06V 10/7715 (2022.01); G06V 10/82 (2022.01); G06V 20/41 (2022.01); G06V 20/46 (2022.01); G06V 20/48 (2022.01); G06V 20/49 (2022.01)] | 30 Claims |

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1. A processor-implemented method, comprising:
receiving a video data stream including at least a first frame and a second frame;
extracting first features from the first frame using a teacher neural network;
determining a difference between the first frame and the second frame;
extracting second features from at least the difference between the first frame and the second frame using a student neural network;
generating a feature map for the second frame based on a summation of the first features and the second features; and
generating an inference for at least the second frame of the video data stream based on the generated feature map for the second frame.
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