公开(公告)号：US20240037906A1

公开(公告)日：2024-02-01

申请号：US17814921

申请日：2022-07-26

Applicant: ADOBE INC.

Inventor： Qiuyu Chen ,  Quan Hung Tran ,  Kushal Kafle ,  Trung Huu Bui ,  Franck Dernoncourt ,  Walter W. Chang

IPC: G06V10/764 ,  G06V10/56 ,  G06V10/774

CPC classification number: G06V10/764 ,  G06V10/56 ,  G06V10/774 ,  G06V2201/10

Abstract: Systems and methods for color prediction are described. Embodiments of the present disclosure receive an image that includes an object including a color, generate a color vector based on the image using a color classification network, where the color vector includes a color value corresponding to each of a set of colors, generate a bias vector by comparing the color vector to teach of a set of center vectors, where each of the set of center vectors corresponds to a color of the set of colors, and generate an unbiased color vector based on the color vector and the bias vector, where the unbiased color vector indicates the color of the object.

公开(公告)号：US11967128B2

公开(公告)日：2024-04-23

申请号：US17333583

申请日：2021-05-28

Applicant: ADOBE INC.

Inventor： Qiuyu Chen ,  Quan Hung Tran ,  Kushal Kafle ,  Trung Huu Bui ,  Franck Dernoncourt ,  Walter Chang

IPC: G06V10/56 ,  G06F16/51 ,  G06F16/532 ,  G06F16/56 ,  G06F16/583 ,  G06V10/25 ,  G06V10/774 ,  G06V10/82

CPC classification number: G06V10/56 ,  G06F16/51 ,  G06F16/532 ,  G06F16/56 ,  G06F16/5838 ,  G06V10/25 ,  G06V10/774 ,  G06V10/82 ,  G06T2207/20081

Abstract: The present disclosure describes a model for large scale color prediction of objects identified in images. Embodiments of the present disclosure include an object detection network, an attention network, and a color classification network. The object detection network generates object features for an object in an image and may include a convolutional neural network (CNN), region proposal network, or a ResNet. The attention network generates an attention vector for the object based on the object features, wherein the attention network takes a query vector based on the object features, and a plurality of key vector and a plurality of value vectors corresponding to a plurality of colors as input. The color classification network generates a color attribute vector based on the attention vector, wherein the color attribute vector indicates a probability of the object including each of the plurality of colors.

公开(公告)号：US20220383031A1

公开(公告)日：2022-12-01

申请号：US17333583

申请日：2021-05-28

Applicant: Adobe INC.

Inventor： Qiuyu Chen ,  Quan Hung Tran ,  Kushal Kafle ,  Trung Huu Bui ,  Franck Dernoncourt ,  Walter Chang

IPC: G06K9/46 ,  G06K9/32 ,  G06F16/51 ,  G06F16/583 ,  G06F16/532 ,  G06F16/56

Abstract: The present disclosure describes a model for large scale color prediction of objects identified in images. Embodiments of the present disclosure include an object detection network, an attention network, and a color classification network. The object detection network generates object features for an object in an image and may include a convolutional neural network (CNN), region proposal network, or a ResNet. The attention network generates an attention vector for the object based on the object features, wherein the attention network takes a query vector based on the object features, and a plurality of key vector and a plurality of value vectors corresponding to a plurality of colors as input. The color classification network generates a color attribute vector based on the attention vector, wherein the color attribute vector indicates a probability of the object including each of the plurality of colors.