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Audio-Video classification on Kinetics-Sound

93.3AccuracyCA2ST
43.58856.49469.482.306Nov 9, 2023Apr 1, 2024Aug 24, 2024Jan 16, 2025Jun 9, 2025Nov 1, 2025Mar 26, 2026

Evaluation results

MethodLinks
CA2STLearnable Param.=62M2025.0393.3———
CAVALearnable Param.=44M2025.0392.9———
MMT(A+V)Learnable Param.=52M2025.0392.3———
CASTLearnable Param.=45M2025.0391.6———
MoMALearnable Param.=17M2025.0391.1———
Mirasol3BModalities=Audio + Video2023.1190.1———
Mirasol3BLearnable Param.=3B2025.0390.1———
Mirasol3BCombiner=TTM, Modalities=Audio + Video2023.1188.3———
MBTModalities=Audio + Video2023.1185———
Mirasol3BModel variant=Small, Modalities=Audio + Video2023.1185———
MBT2025.0385———
Noise-tolerant2025.0384.6———
Mirasol3BModel variant=Small, Modalities=Video2023.1181.3———
UDML2026.0369.98——70.26
MMPareto2026.0169.8348.452.42—
G-Blending2026.0169.646.3551.12—
D&R2026.0169.149.7854.88—
LDDU2026.0368.95——69.27
AGM2026.0168.8846.1247.65—
EAU2026.0368.05——68.36
OGM-GE2026.0166.8944.2345.81—
QMF2026.0366.81——67.25
TMC2026.0366.12——66.51
MMBT2026.0365.89———
PMR2026.0165.743.6146.67—
Late Fusion2026.0364.97——65.21
RL-MBALabelled samples=3,000, Percentage of training set=20.4%2026.0348.41———
BMMALLabelled samples=3,000, Percentage of training set=20.4%2026.0347.45———
BADGELabelled samples=3,000, Percentage of training set=20.4%2026.0347———
DeepFoolLabelled samples=3,000, Percentage of training set=20.4%2026.0346.8———
RandomLabelled samples=3,000, Percentage of training set=20.4%2026.0346.5———
EntropyLabelled samples=3,000, Percentage of training set=20.4%2026.0346.5———
GCNALLabelled samples=3,000, Percentage of training set=20.4%2026.0346———
CoreSetLabelled samples=3,000, Percentage of training set=20.4%2026.0346———
BALDLabelled samples=3,000, Percentage of training set=20.4%2026.0345.5———