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Research map / Vision-language and multimodal / Cross-modal learning

SceneTrilogy: On Human Scene-Sketch and Its Complementarity With Photo and Text

CVPR 2023 · Vision-language and multimodal › Cross-modal learning · approach: Multi-modality image fusion · 29 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add modality-specific/agnostic disentanglement with τₖ (ablation)SceneTrilogy · FS-COCO FG-STBIRAcc.@1: +0.4Helped
Add cross-attention to model interactions between query modalities (ablation)SceneTrilogy · FS-COCO FG-STBIRAcc.@1: +0.6Helped
Use contrastive loss instead of simple triplet loss (ablation)SceneTrilogy · FS-COCO FG-STBIRAcc.@1: +0.2Helped
Add sketch as a guiding signal for image captioningImage captioning · Subjective captioning pilot studyB-4: +10.9Helped
Add sketch as a guiding signal for image captioningImage captioning · Subjective captioning pilot studyCIDEr: +16.1Helped
Use element-wise addition to fuse sketch and textSCM · SketchyCOCO FG-STBIRAcc.@1: 38.5 vs. 39.1Hurt
Replace naive addition with a weighted sumQST · SketchyCOCO FG-STBIRAcc.@1: 38.9 vs. 38.5Helped
Use CLIP-LN rather than SceneTrilogyText-based image retrieval · SketchyCOCO FG-TBIRAcc.@1: 21.5 vs. 22.1Helped
Use CLIP-LN rather than SceneTrilogyText-based image retrieval · FS-COCO FG-TBIRAcc.@1: 13.7 vs. 14.8Helped

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