US 12,073,604 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 Jun. 12, 2023, as Appl. No. 18/333,281.
Application 18/333,281 is a continuation of application No. 17/647,390, filed on Jan. 7, 2022, granted, now 11,721,089.
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 2023/0326182 A1, Oct. 12, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 10/00 (2022.01); G06F 18/20 (2023.01); G06F 18/2321 (2023.01); G06N 3/045 (2023.01); G06V 10/764 (2022.01); G06V 20/40 (2022.01); G06V 40/10 (2022.01); G06V 40/20 (2022.01)
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 processor comprising:
one or more circuits to:
determine, using one or more neural networks and based at least on a temporal sequence of input signals, a temporal series of classification outputs;
apply a filter to one or more of the temporal series of classification outputs to generate one or more filtered classification outputs of the temporal series of classification outputs;
determine one or more confidence scores for one or more input signals of the input signals using the one or more filtered classification outputs; and
classify the one or more input signals using the one or more confidence scores.