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Acoustic Event Detection on AudioSet (test)

0.462mAPAttention AV-fusion
0.177040.251020.3250.39898May 29, 2019Sep 13, 2019Dec 30, 2019Apr 15, 2020Aug 1, 2020Nov 16, 2020Mar 4, 2021

Evaluation results

MethodLinks
Attention AV-fusionModality=A+V2021.030.462—
Perceiver (mel spectrogram - tuned)Input=mel spectrogram, Modality=A+V, Tuned=true2021.030.442—
Perceiver (raw audio)Input=raw audio, Modality=A+V2021.030.435—
Perceiver (mel spectrogram)Input=mel spectrogram, Modality=A+V2021.030.432—
CNN-14Modality=Audio2021.030.431—
G-BlendBackbone depth=101, Modality=Audio + Visual2019.050.4180.975
G-blendModality=A+V2021.030.418—
Naive A/VBackbone depth=101, Modality=Audio + Visual2019.050.4020.973
SUSTAINTeachers=2 Teachers2020.060.3980.972
SUSTAINTeachers=Single Teacher2020.060.3940.972
Attention AV-fusionModality=Audio2021.030.384—
Perceiver (mel spectrogram)Input=mel spectrogram, Modality=Audio2021.030.384—
Perceiver (raw audio)Input=raw audio, Modality=Audio2021.030.383—
ResNet-101Pooling=Attention2020.060.380.97
ResNet-50Modality=Audio2021.030.38—
CNN-14 (no balancing & no mixup)Modality=Audio, Balancing=false, Mixup=false2021.030.375—
Kong et al.Scale=Large2020.060.3690.969
WEANET2020.060.3660.958
TAL-Net2019.050.3620.965
TALNetPooling=exp. pooling2020.060.3620.965
Kong et al.Scale=Small2020.060.3610.969
Multi-level Attn.2019.050.360.97
ResNet-34Pooling=Attention2020.060.360.966
Multi-level AttentionModality=Audio2021.030.36—
TALNetPooling=Attention2020.060.3540.963
AttentionModality=Audio2021.030.327—
Audio: R2DBackbone depth=101, Modality=Audio only2019.050.3240.961
G-blendModality=Audio2021.030.324—
BenchmarkModality=Audio2021.030.314—
Perceiver (raw audio)Input=raw audio, Modality=Video2021.030.258—
Perceiver (mel spectrogram)Input=mel spectrogram, Modality=Video2021.030.258—
Attention AV-fusionModality=Video2021.030.257—
Visual: R(2+1)DBackbone depth=101, Modality=Visual only2019.050.1880.918
G-blendModality=Video2021.030.188—