Head-Pose-Aware Visual Speech Recognition with FiLM Modulation
Read the original on arXiv Computer Vision →The Flow has not summarised this story yet — read it at arXiv Computer Vision.
The Flow has not summarised this story yet — read it at arXiv Computer Vision.
The paper introduces Pose Adaptive Dynamic FiLM Modulation for Visual Speech Recognition, addressing head‑pose variation that causes appearance changes in VSR. It proposes a Dynamic Residual FiLM (DR‑FiLM) modulator that predicts input‑dependent weights to control pose‑conditioned modulation strength. Experiments on LRS2 and LRS3 show that DR‑FiLM reduces phoneme error rates compared to unweighted multi‑pathway modulation and that deeper FiLM pathways receive higher weights as head‑pose variation increases.
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