公开(公告)号：US11216697B1

公开(公告)日：2022-01-04

申请号：US16815787

申请日：2020-03-11

Applicant: Amazon Technologies, Inc.

Inventor： Yantao Shen ,  Yuanjun Xiong ,  Siqi Deng ,  Wei Xia ,  Shuo Yang ,  Yifan Xing ,  Wei Li ,  Stefano Soatto

IPC: G06K9/62 ,  G06K9/00 ,  G06N20/00 ,  G06F16/538

Abstract: Techniques for building a backward compatible and backfill-free image search system are described. According to some embodiments, a backwards compatible training system trains a new embedding model to be backward compatible with the face embeddings (e.g., floating-point vectors) generated by a previous embedding model. In one embodiment, backwards compatible training uses a classifier of the previous embedding model as a form of constraint in the training of the new embedding model.

公开(公告)号：US12229179B1

公开(公告)日：2025-02-18

申请号：US18515105

申请日：2023-11-20

Applicant: Amazon Technologies, Inc.

Inventor： Matthaeus Kleindessner ,  Christopher Michael Russell ,  Kailash Budhathoki ,  Ali Caner Turkmen ,  Siqi Deng ,  Varad Gunjal ,  Ashwin Swaminathan ,  Raghavan Manmatha ,  Hao Yang

IPC: G06F16/40 ,  G06F16/432 ,  G06F16/53

Abstract: The present disclosure generally relates to systems and methods for searching media content. In some implementation examples, a search system receives an input query, generates a query embedding of the input query, and generates a bias mitigation transformation associated with a sensitive attribute. Based on the query embedding and the bias mitigation transformation, the search system generates a transformed query embedding that suppresses at least a portion of the query embedding related to the sensitive attribute. Using the transformed query embedding, the search system executes a similarity search in a media embedding model to identify one or more media embeddings that are similar to the transformed query embedding and transmits the one or more media embeddings.

公开(公告)号：US11475684B1

公开(公告)日：2022-10-18

申请号：US16830148

申请日：2020-03-25

Applicant: Amazon Technologies, Inc.

Inventor： Siqi Deng ,  Yuanjun Xiong ,  Wei Li ,  Shuo Yang ,  Wei Xia ,  Meng Wang

IPC: G06V30/32 ,  G06N3/08 ,  G06N3/04

Abstract: An image may be evaluated by a computer vision system to determine whether it is fit for analysis. The computer vision system may generate an embedding of the image. An embedding quality score (EQS) of the image may be determined based on the image's embedding and a reference embedding associated with a cluster of reference noisy images. The quality of the image may be evaluated based on the EQS of the image to determine whether the quality meets filter criteria. The image may be further processed when the quality is sufficient, or otherwise the image may be removed.