US 11,721,089 B2
Using temporal filters for automated real-time classification
Sakthivel Sivaraman, Santa Clara, CA (US); Shagan Sah, Santa Clara, CA (US); and Niranjan Avadhanam, Saratoga, CA (US)
Assigned to NVIDIA Corporation, Santa Clara, CA (US)
Filed by NVIDIA Corporation, Santa Clara, CA (US)
Filed on Jan. 7, 2022, as Appl. No. 17/647,390.
Application 17/647,390 is a continuation of application No. 16/907,125, filed on Jun. 19, 2020, granted, now 11,222,232.
Prior Publication US 2022/0129696 A1, Apr. 28, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 10/00 (2022.01); G06V 10/764 (2022.01); G06V 20/40 (2022.01); G06V 40/20 (2022.01); G06V 40/10 (2022.01); G06F 18/20 (2023.01); G06F 18/2321 (2023.01); G06N 3/045 (2023.01)
CPC G06V 10/764 (2022.01) [G06F 18/2321 (2023.01); G06F 18/285 (2023.01); G06N 3/045 (2023.01); G06V 20/47 (2022.01); G06V 40/113 (2022.01); G06V 40/28 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method for assigning a classification to an input signal comprising:
computing, using a neural network, a first confidence score for a first input signal, the first confidence score corresponding to a first class represented in the first input signal;
computing, using a confusion factor between the first class and a second class, a first normalization amount corresponding to the first class, the confusion factor representative of a probability that the neural network will compute, for a second input signal associated with the second class, an output indicating that the second input signal corresponds to the first class;
generating a first normalized confidence score corresponding to the first class by adjusting the first confidence score according to the first normalization amount calculated using the confusion factor;
applying a filter to the first normalized confidence score to generate a final confidence score corresponding to the first class; and
determining a final classification for the first input signal using the final confidence score corresponding to the first class.