SF-Net combines 2D/3D convolutions, framing with LSTMs, and CTC to recognize continuous sign language end-to-end, beating prior sentence-level-supervised methods on two benchmarks.
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SF-Net: Structured Feature Network for Continuous Sign Language Recognition
SF-Net combines 2D/3D convolutions, framing with LSTMs, and CTC to recognize continuous sign language end-to-end, beating prior sentence-level-supervised methods on two benchmarks.