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Research map / Probabilistic and scientific modeling / Variational and generative sampling

Variational Structured Semantic Inference for Diverse Image Captioning

NeurIPS 2019 · Probabilistic and scientific modeling › Variational and generative sampling · approach: Disentangled and discrete latent models · 20 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add syntactic diversity modeling to lexical-only variant (ablation)VSSI-cap · MSCOCO accuracyCIDEr: 87.3 -> 89.4Helped
add lexical diversity modeling to syntax-only variant (ablation)VSSI-cap · MSCOCO accuracyCIDEr: 88.8 -> 89.4Helped
add syntactic diversity modeling to lexical-only variant (ablation)VSSI-cap · MSCOCO diversity n=5mBleu: 68.7 -> 62.4Helped
add lexical diversity modeling to syntax-only variant (ablation)VSSI-cap · MSCOCO diversity n=5mBleu: 63.0 -> 62.4Helped
add syntactic modeling to lexical-only variant (ablation)VSSI-cap · MSCOCO diversity n=5div2: 45.6 -> 47.2Helped
add lexical modeling to syntax-only variant (ablation)VSSI-cap · MSCOCO diversity n=5Unique sentences: 82.4 -> 83.0Helped
add syntactic modeling to lexical-only variant (ablation)VSSI-cap · MSCOCO diversity n=5div1: 34.3 -> 33.9No clear effect
replace AG-CVAE object-guided CVAE with VarMI-tree structured infererCVAE captioner · MSCOCO accuracyCIDEr: 85.7 -> 89.4Helped

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