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Deflation

2 papers tagged archive 2025-07-28

Introduced by Jean-Baptiste Alayrac et al. in Self-Supervised MultiModal Versatile Networks

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Deflation is a video-to-image operation to transform a video network into a network that can ingest a single image. In the two types of video networks considered in the original paper, this deflation corresponds to the following operations: for 3D convolutional based networks, summing the 3D spatio-temporal filters over the temporal dimension to obtain 2D filters; for TSM networks,, turning off the channel shifting which results in a standard residual architecture (ResNet50) for images.

PaperSource

Papers archive 2025-07-28

2 shown of 2, 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.

Tasks archive 2025-07-28

5 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Action Recognition In Videos1
Audio Classification1
Self-Supervised Action Recognition1
Self-Supervised Audio Classification1
blind source separation1

Usage over time archive 2025-07-28

Papers per year tagged with Deflation: 2020 to 2022, peak 1 1 0 2020: 1 paper 2020 2021: 0 papers 2021 2022: 1 paper 2022
Papers per year the archive tags with this method, by the paper's archive date (2 dated). Bars are counts, not a trend claim.

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

Miscellaneous Components

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