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

iQuery: Instruments As Queries for Audio-Visual Sound Separation

CVPR 2023 · Vision-language and multimodal › Cross-modal learning · approach: Audio-visual source localization · 19 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use iQuery instead of CCoLAudio-visual separation · MUSIC testSDR: 7.74 -> 11.17Helped
Use iQuery instead of AMnetAudio-visual separation · MUSIC-21SDR: 11.08 -> 11.12Helped
Use iQuery instead of AMnetAudio-visual separation · AVESDR: 3.71 -> 5.02Helped
Fine-tune a new audio prompt while freezing the transformer backbone rather than fine-tuning the whole networkMUSIC held-out instrument adaptation · MUSIC held-out instrument fine-tuningSDR: 6.74 -> 8.04Helped
Add the learnable linear layer to decoder queries (ablation)iQuery with auxiliary contrastive-loss setup · MUSICSDR: 10.05 -> 11.17Helped
Use hierarchical task learning rather than a fixed contrastive-loss weight (ablation)iQuery with auxiliary contrastive loss · MUSICSDR: 10.89 -> 11.02Helped
Add auxiliary contrastive loss (ablation)iQuery · MUSICSDR: 11.17 -> 11.02Hurt
Use visually named query assignments rather than random object-feature assignments (ablation)iQuery decoder · MUSICSDR: 6.58 -> 11.17Helped
Add motion cross-attention (ablation)Self-audio iQuery decoder · MUSICSDR: 10.54 -> 11.17Helped
Combine self-, motion-cross-, and audio-cross-attention in one decoder layer instead of the selected staged decoder (ablation)iQuery decoder · MUSICSDR: 11.17 -> 10.65Hurt
Run motion and audio cross-attention in parallel and fuse them instead of the selected staged decoder (ablation)iQuery decoder · MUSICSDR: 11.17 -> 10.46Hurt

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