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Show, Edit and Tell: A Framework for Editing Image Captions

CVPR 2020 · Vision-language and multimodal › Human and embodied modeling · approach: Neural image captioning · 75 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add MSE optimization after cross-entropy training (ablation)DCNet · MS COCO Karpathy testCIDEr-D: 117.1 -> 118.3Helped
Add MSE optimization after cross-entropy training (ablation)DCNet · MS COCO Karpathy testBLEU-4: 36.9 -> 37.2Helped
Add MSE optimization after cross-entropy training (ablation)EditNet · MS COCO Karpathy testCIDEr-D: 118.0 -> 118.5Helped
Add MSE optimization after cross-entropy training (ablation)EditNet · MS COCO Karpathy testBLEU-4: 38.0 -> 38.0No clear effect
Add visual features, context gating, and DCNet to Copy-LSTM alone (ablation)ETN · MS COCO Karpathy testCIDEr-D: 117.3 -> 1.200Helped
Add the context gate (ablation)EditNet without visual features · MS COCO Karpathy testCIDEr-D: 117.3 -> 117.5Helped
Replace non-differentiable indexing with soft attention on memory states (ablation)SCMA · MS COCO Karpathy testCIDEr-D: 1.200 -> 119.2Hurt
Use iterative caption editing with Copy-LSTM and SCMAETN · MS COCO Karpathy test, cross-entropyCIDEr-D: 119.8 -> 1.200Helped
Use iterative caption editing with Copy-LSTM and SCMAETN · MS COCO Karpathy test, sequence-level optimizationCIDEr-D: 129.8 -> 128.9Hurt

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