公开(公告)号：US20240211181A1

公开(公告)日：2024-06-27

申请号：US18069446

申请日：2022-12-21

Applicant: Adobe Inc.

Inventor： Nipun Poddar ,  Sumeet Khurana ,  Rebecca Eleanor Hauser ,  Neha Pant ,  Naveen Prakash Goel ,  David Douglas Barnes ,  Anas Lnu ,  Amit Mittal ,  Amit Gupta ,  Abhishek Kumar Pandey

IPC: G06F3/12 ,  H04N1/60

CPC classification number: G06F3/1204 ,  G06F3/1208 ,  G06F3/1256 ,  H04N1/6097

Abstract: Spot aware print workflow techniques and system are described. In an implementation, a digital document is received for printing that includes a plurality of objects. Spot functionality is detected as corresponding to a respective object based on object properties detected for the respective object. One or more spot planes for are generated based on the spot functionality and a determination is made of color values for the one or more spot planes, respectively, based on context data describing a context, in which, the one or more spot planes are to be printed. The spot planes having the color values are output for printing by a print mechanism.

公开(公告)号：US12204964B2

公开(公告)日：2025-01-21

申请号：US18177636

申请日：2023-03-02

Applicant: Adobe Inc.

Inventor： Sumeet Khurana ,  Shvet Chakra ,  Nipun Poddar ,  Naveen Prakash Goel ,  Amit Gupta

IPC: B41J2/205 ,  G06K15/02 ,  G06N20/00

Abstract: Methods and systems are provided for facilitating implementation of machine learning models in embedded software. In embodiments, a lean machine learning model, having a limited number of layers, is trained in association with a complex machine learning model, having a greater number of layers. To this end, a complex machine learning model, having a first number of layers, can be trained based on an output generated from a lean machine learning model used as input to the complex machine learning model. Further, the lean machine learning model, having a second number of layers less than the first number of layers, is trained using a loss value generated in association with training the complex machine learning model. Thereafter, the trained lean machine learning model can be provided for implementation in an embedded software.

公开(公告)号：US12067302B2

公开(公告)日：2024-08-20

申请号：US18069446

申请日：2022-12-21

Applicant: Adobe Inc.

Inventor： Nipun Poddar ,  Sumeet Khurana ,  Rebecca Eleanor Hauser ,  Neha Pant ,  Naveen Prakash Goel ,  David Douglas Barnes ,  Anas Lnu ,  Amit Mittal ,  Amit Gupta ,  Abhishek Kumar Pandey

IPC: G06F15/00 ,  G06F3/12 ,  H04N1/60

CPC classification number: G06F3/1204 ,  G06F3/1208 ,  G06F3/1256 ,  H04N1/6097

Abstract: Spot aware print workflow techniques and system are described. In an implementation, a digital document is received for printing that includes a plurality of objects. Spot functionality is detected as corresponding to a respective object based on object properties detected for the respective object. One or more spot planes for are generated based on the spot functionality and a determination is made of color values for the one or more spot planes, respectively, based on context data describing a context, in which, the one or more spot planes are to be printed. The spot planes having the color values are output for printing by a print mechanism.