US 12,462,392 B2
Methods and apparatuses for auto segmentation using bounding box
Dae Hoon Kim, Seoul (KR); Jey Yoon Ru, Seoul (KR); and Luca Pimenta Medeiros, Seoul (KR)
Assigned to NUVI LABS CO., LTD., Incheon (KR)
Filed by NUVI LABS CO., LTD., Incheon (KR)
Filed on Dec. 28, 2022, as Appl. No. 18/090,408.
Claims priority of application No. 10-2022-0145994 (KR), filed on Nov. 4, 2022.
Prior Publication US 2024/0161303 A1, May 16, 2024
Int. Cl. G06T 7/11 (2017.01); G06T 7/194 (2017.01); G06T 7/90 (2017.01)
CPC G06T 7/11 (2017.01) [G06T 7/194 (2017.01); G06T 7/90 (2017.01); G06T 2207/20081 (2013.01); G06T 2207/20112 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A method for auto segmentation executed by an apparatus for auto segmentation, the method comprising:
receiving a first object image including an object labeled with a bounding box, which is a pre-learning target;
learning a segmentation model by classifying an object and a background from the bounding box of the received first object image; and
segmenting an object from a second object image, which is an identification target, using the learned segmentation model,
wherein the learning a segmentation model calculates a mask loss by summing a first loss calculated by using a mask and a bounding box predicted in the first object image and a second loss calculated by using a mask predicted in the first object image and a color similarity map between individual pixels and their neighboring pixels within the bounding box and learns the segmentation model using the calculated mask loss.