Methods › Computer Vision › VQA Models › MODERN
Modulated Residual Network
MODERN
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
MODERN, or Modulated Residual Network, is an architecture for visual question answering (VQA). It employs conditional batch normalization to allow a linguistic embedding from an LSTM to modulate the batch normalization parameters of a ResNet. This enables the linguistic embedding to manipulate entire feature maps by scaling them up or down, negating them, or shutting them off, etc.
Papers archive 2025-07-28
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Modulating early visual processing by language 2 Jul 2017 · 2 repositories · arXiv:1707.00683
Tasks archive 2025-07-28
3 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
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Categories archive 2025-07-28
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