Miscellaneous Components

Deflation

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

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.

Source: Self-Supervised MultiModal Versatile Networks

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Audio Classification 1 50.00%
Self-Supervised Action Recognition 1 50.00%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

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