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

Promoting Single-Modal Optical Flow Network for Diverse Cross-Modal Flow Estimation

AAAI 2022 · Vision-language and multimodal › Cross-modal learning · approach: Unimodal-to-multimodal representation transfer · 31 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add ColorJitter augmentation (ablation)MPF · RGBNIR-StereoMean Disparity Error: 0.955 -> 0.889Helped
Add ChannelJitter augmentation (ablation)MPF · RGBNIR-StereoMean Disparity Error: 0.938 -> 0.889Helped
Add ColorInvert augmentation (ablation)MPF · RGBNIR-StereoMean Disparity Error: 0.943 -> 0.889Helped
Add GradualJittier augmentation (ablation)MPF · RGBNIR-StereoMean Disparity Error: 0.914 -> 0.889Helped
Add Noise augmentation (ablation)MPF · RGBNIR-StereoMean Disparity Error: 0.967 -> 0.889Helped
Add Sharpen augmentation (ablation)MPF · RGBNIR-StereoMean Disparity Error: 0.977 -> 0.889Helped
Add Blur augmentation (ablation)MPF · RGBNIR-StereoMean Disparity Error: 0.892 -> 0.889Helped
Add Occlusion augmentation (ablation)MPF · RGBNIR-StereoMean Disparity Error: 1.062 -> 0.889Helped
Add Weather augmentation (ablation)MPF · RGBNIR-StereoMean Disparity Error: 0.925 -> 0.889Helped
Add Compression Noise augmentation (ablation)MPF · RGBNIR-StereoMean Disparity Error: 0.941 -> 0.889Helped
Add Solarize augmentation (ablation)MPF · RGBNIR-StereoMean Disparity Error: 0.972 -> 0.889Helped
Add GlassBlur augmentation (ablation)MPF · RGBNIR-StereoMean Disparity Error: 0.967 -> 0.889Helped

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