Methods › Computer Vision › Video Data Augmentation › Temporally Consistent Spatial Augmentation
Temporally Consistent Spatial Augmentation
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Temporally Consistent Spatial Augmentation is a video data augmentation technique used for contrastive learning in the Contrastive Video Representation Learning framework. It fixes the randomness of spatial augmentation across frames; this prevents spatial augmentation hurting learning if applied independently across frames, because in that case it breaks the natural motion. In contrast, having temporally consistent spatial augmentation does not break the natural motion in the frames.
Papers archive 2025-07-28
3 shown of 3, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Nearest-Neighbor Inter-Intra Contrastive Learning from Unlabeled Videos 13 Mar 2023 · 0 repositories · arXiv:2303.07317
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SCVRL: Shuffled Contrastive Video Representation Learning 24 May 2022 · 0 repositories · arXiv:2205.11710
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Spatiotemporal Contrastive Video Representation Learning 9 Aug 2020 · 4 repositories · arXiv:2008.03800
Tasks archive 2025-07-28
9 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections