US 12,299,969 B2
Efficient vision perception
Hee Jun Park, San Diego, CA (US); Abhinav Goel, Lafayette, IN (US); and Young Hoon Kang, San Diego, CA (US)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Filed by QUALCOMM Incorporated, San Diego, CA (US)
Filed on Mar. 22, 2022, as Appl. No. 17/701,400.
Claims priority of provisional application 63/252,544, filed on Oct. 5, 2021.
Prior Publication US 2023/0115371 A1, Apr. 13, 2023
Int. Cl. G06V 10/82 (2022.01); G06V 10/25 (2022.01); G06V 20/40 (2022.01); G06V 20/70 (2022.01)
CPC G06V 10/82 (2022.01) [G06V 10/25 (2022.01); G06V 20/49 (2022.01); G06V 20/70 (2022.01); G06V 2201/07 (2022.01)] 30 Claims
OG exemplary drawing
 
1. An apparatus for vision perception, the apparatus comprising:
memory; and
one or more processors coupled to the memory, the one or more processors configured to:
obtain, from one or more computer vision functions, attention votes per region of a first frame from a set of frames, the attention votes per region providing at least one of attention demands and attention requests;
determine an attention score per region of the first frame based on the attention votes per region, the attention score for each region being based on a respective number of attention votes associated with each region;
based on the attention score per region of the first frame, select one or more regions of the first frame for processing using a neural network; and
detect one or more objects in the one or more regions of the first frame based on a processing of the one or more regions using the neural network.