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Middle-Out Decoding

NeurIPS 2018 · Video › Video generation · approach: Compositional text-to-video diffusion · 0 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Decode the symmetric sequence from its middle outwardSequence-to-sequence model · Synthetic de-noising testMSE: 1.52 \times 1\mathrm{e}{-3} -> 3.51 \times 1\mathrm{e}{-4}Helped
Decode the symmetric sequence from its middle outwardSequence-to-sequence model · Synthetic de-noising testSymmetric MSE: 0.0780 -> 1.32 \times 1\mathrm{e}{-4}Helped
Add dual self-attentionSeq2Seq + Attention · MSVD (Youtube2Text) testMETEOR: 34.0 -> 34.4Helped
Add dual self-attention to middle-out decoding (ablation)Middle-Out + Attention · MSVD (Youtube2Text) testMETEOR: 30.9 -> 34.1Helped
Use middle-out decoding instead of left-to-right decodingCaption generation model · MSVD (Youtube2Text) testSelf METEOR: 49.6 -> 44.8Helped
Use middle-out decoding instead of left-to-right decodingCaption generation model · MSVD (Youtube2Text) testSelf BLEU-4: 77.8 -> 70.1Helped
Provide the oracle middle word rather than the classifier predictionMiddle-Out + Attention + Self-Attention · MSVD (Youtube2Text) testMETEOR: 34.1 -> 40.9Helped
Use middle-out decoding with the oracle middle word rather than an input-conditioned Seq2Seq decoderOracle caption generation · MSVD (Youtube2Text) testMETEOR: 34.5 -> 40.9Helped
Use output-embedding self-attention instead of dual self-attention (ablation)Seq2Seq + Attention · MSVD (Youtube2Text) testMETEOR: 34.4 -> 34.2Hurt
Use output-embedding self-attention instead of dual self-attention (ablation)Seq2Seq + Attention · MSVD (Youtube2Text) testCIDEr-D: 81.9 -> 82.8Helped
Use hidden-state self-attention instead of dual self-attention (ablation)Seq2Seq + Attention · MSVD (Youtube2Text) testCIDEr-D: 81.9 -> 80.7Hurt
Use hidden-state self-attention instead of dual self-attention (ablation)Seq2Seq + Attention · MSVD (Youtube2Text) testBLEU-4: 48.3 -> 47.2Hurt

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