公开(公告)号：US20220292356A1

公开(公告)日：2022-09-15

申请号：US17805405

申请日：2022-06-03

Applicant: ADOBE INC.

Inventor： Mayank SINGH ,  Abhishek SINHA ,  Balaji KRISHNAMURTHY

IPC: G06N3/08 ,  G06K9/62 ,  G06N3/04 ,  G06N5/04 ,  G06F21/57

Abstract: Embodiments disclosed herein describe systems, methods, and products that generate trained neural networks that are robust against adversarial attacks. During a training phase, an illustrative computer may iteratively optimize a loss function that may include a penalty for ill-conditioned weight matrices in addition to a penalty for classification errors. Therefore, after the training phase, the trained neural network may include one or more well-conditioned weight matrices. The one or more well-conditioned weight matrices may minimize the effect of perturbations within an adversarial input thereby increasing the accuracy of classification of the adversarial input. By contrast, conventional training approaches may merely reduce the classification errors using backpropagation, and, as a result, any perturbation in an input is prone to generate a large effect on the output.

公开(公告)号：US20210342701A1

公开(公告)日：2021-11-04

申请号：US16865572

申请日：2020-05-04

Applicant: ADOBE INC.

Inventor： Kumar AYUSH ,  Ayush CHOPRA ,  Patel Utkarsh GOVIND ,  Balaji KRISHNAMURTHY ,  Anirudh SINGHAL

IPC: G06N3/08 ,  G06N3/04 ,  G06Q30/06 ,  G06K9/62

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for predicting visual compatibility between a bundle of catalog items (e.g., a partial outfit) and a candidate catalog item to add to the bundle. Visual compatibility prediction may be jointly conditioned on item type, context, and style by determining a first compatibility score jointly conditioned on type (e.g., category) and context, determining a second compatibility score conditioned on outfit style, and combining the first and second compatibility scores into a unified visual compatibility score. A unified visual compatibility score may be determined for each of a plurality of candidate items, and the candidate item with the highest unified visual compatibility score may be selected to add to the bundle (e.g., fill the in blank for the partial outfit).