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Video Recognition on Kinetics (val)

81.5Top-1 AccuracyEnsemble
19.20435.37751.5567.723Aug 12, 2017Nov 27, 2017Mar 15, 2018Jul 1, 2018Oct 16, 2018Feb 1, 2019May 20, 2019

Evaluation results

MethodLinks
EnsembleModality=RGB + Flow + Audio2017.0881.595.6—
Shifting Attention NetworkModality=RGB + Flow + Audio2017.0877.793.2—
3-stream SATTbackbone=Inception-ResNet-v2, modality=RGB + flow + audio2017.1177.793.2—
NL I3Dbackbone=ResNet-101, modality=RGB2017.1177.793.3—
NL I3DInput=RGB2019.0577.793.3—
3 stream SATTInput=RGB+flow+audio2019.0577.793.2—
Temporal Xception NetworkModality=RGB + Flow + Audio2017.0877.293.4—
Fast-forward LSTMModality=RGB + Flow + Audio2017.0877.193.2—
3-stream LSTMbackbone=Inception-ResNet-v2, modality=RGB + flow + audio2017.1177.193.2—
Multi-stream Sequence ModelModality=RGB + Flow + Audio2017.087793.2—
Semi-weakly supervisedModel=R(2+1)D-18, Clip length=32, # parameters=33M, FLOPS=83B, Input=RGB2019.0576.792.3—
NL I3Dbackbone=ResNet-50, modality=RGB2017.1176.592.6—
Weakly-supervisedModel=R(2+1)D-18, Clip length=32, # parameters=33M, FLOPS=83B, Input=RGB2019.057692—
Semi-weakly supervisedModel=R(2+1)D-34, Clip length=8, # parameters=64M, FLOPS=38B, Input=RGB2019.0575.992—
2-Stream I3Dbackbone=Inception, modality=RGB + flow2017.1175.792—
I3D-Two-StreamInput=RGB+flow2019.0575.792—
CPNetparams (M)=42.1, Clip length=32 frames, Backbone=C2D ResNet-1012019.0575.392.4—
NL C2D ResNet-101params (M)=48.2, Clip length=32 frames, Backbone=ResNet-1012019.0575.191.7—
Late fusionModality=RGB + Flow + Audio2017.0874.991.6—
3-stream late fusionbackbone=Inception-ResNet-v2, modality=RGB + flow + audio2017.1174.991.6—
Weakly-supervisedModel=R(2+1)D-34, Clip length=8, # parameters=64M, FLOPS=38B, Input=RGB2019.0574.891.2—
TSM_16FFLOPs=65G, Param.=24.3M, Latency=29.0ms, Thrput.=39.5V/s2018.1174.7——
Semi-weakly supervisedModel=R(2+1)D-18, Clip length=8, # parameters=33M, FLOPS=21B, Input=RGB2019.0574.291.3—
TSM_8FFLOPs=33G, Param.=24.3M, Latency=17.4ms, Thrput.=77.4V/s2018.1174.1——
I3DFLOPs=33G, Param.=29.3M, Latency=25.8ms, Thrput.=42.4V/s2018.1173.3——
Inception-ResNet-v2Modality=RGB2017.087390.9—
RGB baselinebackbone=Inception-ResNet-v2, modality=RGB2017.117390.9—
Inception-ResNet-v2params (M)=50.92019.057390.9—
I3Dbackbone=Inception, modality=RGB2017.1172.190.3—
I3D Inceptionparams (M)=25.02019.0572.190.3—
Weakly-supervisedModel=R(2+1)D-18, Clip length=8, # parameters=33M, FLOPS=21B, Input=RGB2019.0571.589.7—
Fully-supervisedModel=R(2+1)D-18, Clip length=32, # parameters=33M, FLOPS=83B, Input=RGB2019.0569.387.7—
Fully-supervisedModel=R(2+1)D-34, Clip length=8, # parameters=64M, FLOPS=38B, Input=RGB2019.056785.8—
Fully-supervisedModel=R(2+1)D-18, Clip length=8, # parameters=33M, FLOPS=21B, Input=RGB2019.0564.884.5—
Inception-ResNet-v2Modality=Flow2017.0854.575.9—
VGG16Modality=Audio2017.0821.639.4—
ARTNet w/o TSNSpatial resolution=112 × 112, Backbone architecture=ResNet-182017.11——78.7
ARTNet with TSNSpatial resolution=112 × 112, Backbone architecture=ResNet-182017.11——80
C3DSpatial resolution=112 × 112, Backbone architecture=ResNet-182017.11——75.7
C3DSpatial resolution=112 × 112, Backbone architecture=ResNet-342017.11——77
TSN Spatial NetworksSpatial resolution=224 × 224, Backbone architecture=Inception V22017.11——77.8