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Collecting Cross-Modal Presence-Absence Evidence for Weakly-Supervised Audio-Visual Event Perception

CVPR 2023 · Vision-language and multimodal › Cross-modal learning · approach: Self-supervised audio-visual representation learning · 42 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use cross-modal presence-absence evidence collection with joint-modal mutual learningJoMoLD on LLP (AVVP) · LLP (AVVP)event-level visual F-score: 59.9 -> 63.7Helped
use cross-modal presence-absence evidence collection with joint-modal mutual learningJoMoLD on AVEP · AVEPevent-level visual F-score: 55.8 -> 61.9Helped
use CMPAE instead of JoMoLDAVE · AVEaccuracy: 71.8 -> 74.8Helped
add PAEC to the EDL baseline (ablation)AVVP and AVEP · AVVP and AVEPsegment-level Type F-score: 60.8 -> 61.9; 58.0 -> 61.5Helped
add JML while leaving out PAEC (ablation)EDL baseline · AVVP and AVEPsegment-level Type F-score: 60.8 -> 61.0; 58.0 -> 58.9Helped
add JML to EDL + PAEC (ablation)CMPAE · AVVP and AVEPsegment-level Type F-score: 61.9 -> 63.3; 61.5 -> 62.4Helped
use a single track for both presence and absence evidence (ablation)CMPAE · AVVPsegment-level Type F-score: 63.3 -> 61.2Hurt
use cross-modal features for both presence and absence evidence (ablation)CMPAE · AVVPsegment-level Type F-score: 63.3 -> 61.7Hurt
exchange feature sources for presence and absence evidence (ablation)CMPAE · AVVPsegment-level Type F-score: 63.3 -> 62.1Hurt
remove the joint-modal uncertainty term from JML (ablation)CMPAE · AVVPevent-level Type F-score: 57.4 -> 56.5Hurt
remove the uni-modal uncertainty term from JML (ablation)CMPAE · AVVPevent-level Type F-score: 57.4 -> 56.4Hurt
replace the uni-modal selector with uniform averaging (ablation)CMPAE · AVVPevent-level Type F-score: 57.4 -> 56.3Hurt

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