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公开(公告)号：US20230154139A1
公开(公告)日：2023-05-18
申请号：US17589709
申请日：2022-01-31
Applicant: salesforce.com, inc.
Inventor： Brian Chen , Ramprasaath Ramasamy Selvaraju , Juan Carlos Niebles Duque , Nikhil Naik
CPC classification number: G06V10/454 , G06V10/462 , G06V10/62
Abstract: Embodiments described herein provide an intelligent method to select instances, by utilizing unsupervised tracking for videos. Using this freely available form of supervision, a temporal constraint is adopted for selecting instances that ensures that different instances contain the same object while sampling the temporal augmentation from the video. In addition, using the information on the spatial extent of the tracked object, spatial constraints are applied to ensure that sampled instances overlap meaningfully with the tracked object. Taken together, these spatiotemporal constraints result in better supervisory signal for contrastive learning from videos.
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公开(公告)号：US12106541B2
公开(公告)日：2024-10-01
申请号：US17589709
申请日：2022-01-31
Applicant: Salesforce.com, Inc.
Inventor： Brian Chen , Ramprasaath Ramasamy Selvaraju , Juan Carlos Niebles Duque , Nikhil Naik
CPC classification number: G06V10/454 , G06V10/462 , G06V10/62
Abstract: Embodiments described herein provide an intelligent method to select instances, by utilizing unsupervised tracking for videos. Using this freely available form of supervision, a temporal constraint is adopted for selecting instances that ensures that different instances contain the same object while sampling the temporal augmentation from the video. In addition, using the information on the spatial extent of the tracked object, spatial constraints are applied to ensure that sampled instances overlap meaningfully with the tracked object. Taken together, these spatiotemporal constraints result in better supervisory signal for contrastive learning from videos.
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