FiLM: Visual Reasoning with a General Conditioning Layer

22 Sep 2017Ethan PerezFlorian StrubHarm de VriesVincent DumoulinAaron Courville

We introduce a general-purpose conditioning method for neural networks called FiLM: Feature-wise Linear Modulation. FiLM layers influence neural network computation via a simple, feature-wise affine transformation based on conditioning information... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Visual Question Answering CLEVR CNN+GRU+FiLM Accuracy 97.7 # 2

Methods used in the Paper


METHOD TYPE
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