Invention Grant
- Patent Title: Object discovery in images through categorizing object parts
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Application No.: US17613767Application Date: 2020-05-22
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Publication No.: US12067758B2Publication Date: 2024-08-20
- Inventor: Adam Roman Kosiorek , Geoffrey E. Hinton , Sara Sabour Rouh Aghdam , Yee Whye Teh
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- International Application: PCT/US2020/034386 2020.05.22
- International Announcement: WO2020/237215A 2020.11.26
- Date entered country: 2021-11-23
- Main IPC: G06V10/44
- IPC: G06V10/44 ; G06T7/70 ; G06V10/82

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting objects in images. One of the methods includes obtaining an input image; processing the input image to generate predicted part feature data, the predicted part feature data comprising, for each of a plurality of possible object parts: a part presence probability representing a likelihood that the possible object part is depicted in the input image, a predicted pose of the possible object part in the input image given that the possible object part is depicted in the input image, and an object part feature vector characterizing the depiction of the possible object part given that the possible object part is depicted in the input image; and processing the predicted part feature data for the plurality of possible object parts to generate an object detection output that identifies one or more objects depicted in the input image.
Public/Granted literature
- US20220230425A1 OBJECT DISCOVERY IN IMAGES THROUGH CATEGORIZING OBJECT PARTS Public/Granted day:2022-07-21
Information query