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Cyclic Co-Learning of Sounding Object Visual Grounding and Sound Separation

CVPR 2021 · Vision-language and multimodal › Human and embodied modeling · approach: Region-level vision-language alignment · 70 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add cyclic feedback from separation to grounding sample mining (ablation)CoL / CCoL · MIT MUSIC, single-sound groundingaccuracy (%): 72.0 -> 84.5Helped
add cyclic feedback from separation to grounding sample mining (ablation)CoL / CCoL · MIT MUSIC, mixed-sound groundingaccuracy (%): 58.2 -> 75.9Helped
jointly learn grounding and separation without cyclic feedback (ablation)Grounding only · MIT MUSIC, single-sound groundingaccuracy (%): 72.0 -> 67.0Hurt
jointly learn grounding and separation without cyclic feedback (ablation)Grounding only · MIT MUSIC, mixed-sound groundingaccuracy (%): 61.4 -> 58.2Hurt
add sounding-object-aware separation guided by grounding (ablation)audio-visual sound separation · MIT MUSICSDR: 4.20 -> 6.50Helped
add cyclic feedback between grounding and separation (ablation)CoL · MIT MUSICSDR: 6.50 -> 7.27Helped
add cyclic feedback between grounding and separation (ablation)CoL · MIT MUSICSIR: 11.81 -> 12.77Helped
use estimated grounding labels instead of ground-truth labelsOracle separation model · MIT MUSICSDR: 7.71 -> 7.27Hurt
use estimated grounding labels instead of ground-truth labelsOracle separation model · MIT MUSICSIR: 11.42 -> 12.77Helped
add cyclic feedback between grounding and separation (ablation)CoL · MIT MUSIC with silent objectsSDR: 14.78 -> 91.07Helped
add cyclic feedback between grounding and separation (ablation)CoL · MIT MUSIC with silent objectsSIR: 15.68 -> 82.82Helped
use cyclic co-learning rather than CoL (ablation)CoL · MIT MUSIC, solo and duet videosSDR: 5.79 -> 6.46Helped

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