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Learning to Localize Sound Source in Visual Scenes

CVPR 2018 · Label-efficient and robust learning › Semi-supervised learning · approach: GAN-based semi-supervised learning · 349 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Increase unsupervised training data from 10k to 144k pairs (ablation)Unsupervised sound localization model · Sound Source Localization datasetcIoU: 43.6 -> 66.0Helped
Add 2.5k supervised samples to 10k unsupervised samples (ablation)Sound localization model · Sound Source Localization datasetcIoU: 43.6 -> 82.8Helped
Combine 2.5k supervised samples with 10k unsupervised samples instead of using 2.5k supervised samples alone (ablation)Sound localization model · Sound Source Localization datasetcIoU: 80.4 -> 82.8Helped
Use ReLU before softmax attention (ablation)Unsupervised model trained on 144k samples · Sound Source Localization datasetcIoU: 66.0 -> 52.4Hurt
Use ReLU before softmax attention (ablation)Sup. 2.5k + Unsup. 10k model · Sound Source Localization datasetcIoU: 82.8 -> 84.0Helped
Use ReLU before softmax attention (ablation)Sup. 2.5k + Unsup. 10k model · Sound Source Localization datasetAUC: 62.0 -> 61.9No clear effect
Add 0.5k supervised samples to 10k unsupervised samples (ablation)Sound localization model · Sound Source Localization datasetcIoU: 43.6 -> 78.0Helped
Increase supervised samples from 0.5k to 1.0k while retaining 10k unsupervised samples (ablation)Semi-supervised sound localization model · Sound Source Localization datasetcIoU: 78.0 -> 82.4Helped
Increase supervised samples from 1.0k to 1.5k while retaining 10k unsupervised samples (ablation)Semi-supervised sound localization model · Sound Source Localization datasetcIoU: 82.4 -> 82.0No clear effect
Increase supervised samples from 1.5k to 2.5k while retaining 10k unsupervised samples (ablation)Semi-supervised sound localization model · Sound Source Localization datasetAUC: 61.3 -> 62.0Helped
Use ReLU attention with 0.5k supervised samples and 10k unsupervised samples (ablation)Semi-supervised sound localization model · Sound Source Localization datasetcIoU: 78.0 -> 79.2Helped
Use ReLU attention with 1.5k supervised samples and 10k unsupervised samples (ablation)Semi-supervised sound localization model · Sound Source Localization datasetAUC: 61.3 -> 61.8Helped

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