Invention Grant
- Patent Title: Self-supervised cross-video temporal difference learning for unsupervised domain adaptation
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Application No.: US17317202Application Date: 2021-05-11
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Publication No.: US11676370B2Publication Date: 2023-06-13
- Inventor: Gaurav Sharma , Jinwoo Choi
- Applicant: NEC Laboratories America, Inc.
- Applicant Address: US NJ Princeton
- Assignee: NEC Corporation
- Current Assignee: NEC Corporation
- Current Assignee Address: JP Tokyo
- Agent Joseph Kolodka
- Main IPC: G06V10/764
- IPC: G06V10/764 ; G06N3/08 ; G06N3/04 ; G06V20/40 ; G06V10/774 ; G06F18/21 ; G06F18/24 ; G06F18/211 ; G06F18/25 ; G06F18/214

Abstract:
A method is provided for Cross Video Temporal Difference (CVTD) learning. The method adapts a source domain video to a target domain video using a CVTD loss. The source domain video is annotated, and the target domain video is unannotated. The CVTD loss is computed by quantizing clips derived from the source and target domain videos by dividing the source domain video into source domain clips and the target domain video into target domain clips. The CVTD loss is further computed by sampling two clips from each of the source domain clips and the target domain clips to obtain four sampled clips including a first source domain clip, a second source domain clip, a first target domain clip, and a second target domain clip. The CVTD loss is computed as |(second source domain clip−first source domain clip)−(second target domain clip−first target domain clip)|.
Public/Granted literature
- US20210374481A1 SELF-SUPERVISED CROSS-VIDEO TEMPORAL DIFFERENCE LEARNING FOR UNSUPERVISED DOMAIN ADAPTATION Public/Granted day:2021-12-02
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