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Action Recognition on Kinetics-400 1.0 (val)

90.6Top-1 AccuracyUMT-L
71.25676.27881.386.322Dec 10, 2018Aug 28, 2019May 16, 2020Feb 1, 2021Oct 21, 2021Jul 9, 2022Mar 28, 2023

Evaluation results

MethodLinks
UMT-LBackbone=ViT-L, Extra data=K710, Input Size=16×224^2, GFLOPS=1434×3×4, Param=304, Epochs=200e, intermediate fine-tuning=true2023.0390.698.7
UMT-LBackbone=ViT-L, Extra data=K710, Input Size=8×224^2, GFLOPS=596×3×4, Param=304, Epochs=200e, intermediate fine-tuning=true2023.0390.398.7
UniFormerV2-LBackbone=ViT-L, Extra data=CLIP-400M+K710, Input Size=64×336^2, GFLOPS=12550×3×2, Param=354, intermediate fine-tuning=true2023.039098.4
MTV-HBackbone=ViT-H+B+S+T, Extra data=IN-21K+WTS-60M, Input Size=32×280^2, GFLOPS=6130×3×4, Param=1000+2023.0389.998.3
UMT-LBackbone=ViT-L, Extra data=K710, Input Size=8×224^2, GFLOPS=596×3×4, Param=304, Epochs=200e2023.0389.198.2
CoCaBackbone=ViT-g, Extra data=JFT-3B+ALIGN-1.8B, Input Size=16×576^2, Param=1000+2023.0388.9—
UMT-LBackbone=ViT-L, Input Size=8×224^2, GFLOPS=596×3×4, Param=304, Epochs=400e2023.0388.998.3
UMT-BBackbone=ViT-B, Extra data=K710, Input Size=8×224^2, GFLOPS=180×3×4, Param=87, Epochs=200e, intermediate fine-tuning=true2023.0387.497.5
MVD-HBackbone=ViT-H, Extra data=IN-1K, Input Size=16×224^2, GFLOPS=1192×3×5, Param=633, Epochs=800e2023.0387.297.4
CoVeRBackbone=ViT-L, Extra data=JFT-3B+SSV2+MiT+IN, Input Size=16×448^2, GFLOPS=5860×3×1, Param=4312023.0387.1—
ST-MAE-LBackbone=ViT-L, Extra data=K600, Input Size=16×224^2, GFLOPS=598×3×7, Param=304, Epochs=1600e, intermediate fine-tuning=true2023.0386.597.2
VideoMAE-LBackbone=ViT-L, Input Size=16×320^2, GFLOPS=3958×3×5, Param=304, Epochs=1600e2023.0386.197.3
UMT-BBackbone=ViT-B, Input Size=8×224^2, GFLOPS=180×3×4, Param=87, Epochs=800e2023.0385.797
UMT-BBackbone=ViT-B, Extra data=K710, Input Size=8×224^2, GFLOPS=180×3×4, Param=87, Epochs=200e2023.0385.796.9
VideoMAE-LBackbone=ViT-L, Input Size=16×224^2, GFLOPS=597×3×5, Param=304, Epochs=1600e2023.0385.296.8
ViViT-HBackbone=ViT-H, Extra data=JFT-300M, Input Size=32×320^2, GFLOPS=3981×3×4, Param=6542023.0384.995.8
ST-MAE-LBackbone=ViT-L, Extra data=K600, Input Size=16×224^2, GFLOPS=598×3×7, Param=304, Epochs=1600e2023.0384.996.2
MaskFeatBackbone=MViTv2-L, Input Size=16×224^2, GFLOPS=377×1×10, Param=218, Epochs=1600e2023.0384.396.3
VideoSwin-LBackbone=Swin-L, Extra data=IN-21K, Input Size=32×224^2, GFLOPS=604×3×4, Param=1972023.0383.195.9
UniFormer-BBackbone=UniFormer-B, Extra data=IN-1K, Input Size=32×224^2, GFLOPS=259×3×4, Param=502023.038395.4
irCSNBackbone=irCSN-152, Pre-train=IG65M2022.0182.695.3
MUFI+fine-tuningBackbone=ResNet-101, Pre-train=Multi-Faceted2022.0182.395.3
MoViNet-A6GFLOPS=386, Parameters=31.4M2021.0381.595.3
VideoMAE-BBackbone=ViT-B, Input Size=16×224^2, GFLOPS=180×3×5, Param=87, Epochs=1600e2023.0381.595.1
ViT-L-ViViTpre-train=ImageNet-21K, FLOPs=3992G, views=3x4, Param=310.8M2021.0481.394.7
ViViT-L/16x2GFLOPS=3990, Parameters=88.9M2021.0381.394.7
R(2+1)DBackbone=ResNet-152, Pre-train=IG65M2022.0181.395.1
ST-MAE-BBackbone=ViT-B, Input Size=16×224^2, GFLOPS=180×3×7, Param=87, Epochs=1600e2023.0381.394.9
MViT-B, 64x3pre-train=None, FLOPs=455G, views=3x3, Param=36.6M2021.0481.295.1
MViTv2-BBackbone=MViTv2-B, Input Size=32×224^2, GFLOPS=255×1×5, Param=372023.0381.295.1
MUFI+fine-tuningBackbone=ResNet-50, Pre-train=Multi-Faceted2022.0181.195.1
BEVTBackbone=Swin-B, Extra data=IN-1K, Input Size=32×224^2, GFLOPS=282×3×4, Param=88, Epochs=800e2023.0381.1—
MoViNet-A5GFLOPS=281, Parameters=15.7M2021.0380.994.9
ViT-B-TimeSformerpre-train=ImageNet-21K, FLOPs=2380G, views=3x1, Param=121.4M2021.0480.794.7
TimeSformer-LGFLOPS=7140, Parameters=120M2021.0380.794.7
TimeSformer-LBackbone=ViT-B, Extra data=IN-21K, Input Size=96×224^2, GFLOPS=2380×3×1, Param=1212023.0380.794.7
MoViNet-A4GFLOPS=105, Parameters=5.9M2021.0380.594.5
X3D-XXLGFLOPS=5800, Parameters=20.3M2021.0380.494.6
MViT-B, 32x3pre-train=None, FLOPs=170G, views=1x5, Param=36.6M2021.0480.294.4
SlowFastsampling=16x8, backbone=ResNet-101, NL=true, GFLOPS x views=234 x 302018.1279.893.9
SlowFast 16x8+NLpre-train=None, FLOPs=234G, views=3x10, Param=59.9M2021.0479.893.9
SlowFastBackbone=ResNet-101+NL2022.0179.893.9
MUFI+linearBackbone=ResNet-101, Pre-train=Multi-Faceted2022.0179.893.2
SlowFast101Backbone=R101+NL, Input Size=80×224^2, GFLOPS=234×3×10, Param=602023.0379.893.9
R(2+1)DBackbone=ResNet-34, Pre-train=IG65M2022.0179.693.9
LGD-3DBackbone=ResNet-101, Pre-train=ImageNet2022.0179.494.4
ViT-B (baseline)pre-train=ImageNet-21K, FLOPs=180G, views=1x5, Param=87.2M2021.0479.393.9
X3D-XLpre-train=None, FLOPs=48.4G, views=3x10, Param=11.0M2021.0479.193.9
X3D-XLGFLOPS=1452, Parameters=11.0M2021.0379.193.9
irCSNBackbone=irCSN-152, Pre-train=Sports1M2022.017993.5
MUFI+linearBackbone=ResNet-50, Pre-train=Multi-Faceted2022.017992.3
SlowFastsampling=16x8, backbone=ResNet-101, GFLOPS x views=213 x 302018.1278.993.5
SlowFastBackbone=ResNet-1012022.0178.993.5
SwinBackbone=Swin-T, Pretrain=ImageNet, Frame=32, #Param.=28.2M, GFLOPS x Views=88×3×42023.0378.893.6
SlowFast 8x8+NLpre-train=None, FLOPs=116G, views=3x10, Param=59.9M2021.0478.793.5
ViT-B-VTNpre-train=ImageNet-21K, FLOPs=4218G, views=1x1, Param=114.0M2021.0478.693.7
MViT-B, 16x4pre-train=None, FLOPs=70.5G, views=1x5, Param=36.6M2021.0478.493.5
MoViNet-A3GFLOPS=56.9, Parameters=5.3M2021.0378.293.8
TimeSformer-SBackbone=ViT-B, Pretrain=ImageNet, Frame=8, #Param.=121.4M, GFLOPS x Views=590×3×102023.037893.7
SlowFastsampling=8x8, backbone=ResNet-101, GFLOPS x views=106 x 302018.1277.993.2
ip-CSN-152pre-train=None, FLOPs=109G, views=3x10, Param=32.8M2021.0477.892.8
Nonlocalbackbone=ResNet-101, flow=false, pretrain=ImageNet, GFLOPS x views=359 x 302018.1277.793.3
NL I3DBackbone=ResNet-101, Pre-train=ImageNet2022.0177.793.3
E3DBackbone=E3D-L, Pretrain=No pretrain, Frame=16, #Param.=5.8M, GFLOPS x Views=18.3×3×102023.0377.692.9
X3D-LGFLOPS=744, Parameters=6.1M2021.0377.592.9
TDNBackbone=ResNet50, Pretrain=ImageNet, Frame=16+64, GFLOPS x Views=72×3×102023.0377.593.2
X3DBackbone=X3D-L, Pretrain=No pretrain, Frame=16, #Param.=3.8M, GFLOPS x Views=24.8×3×102023.0377.592.9
S3D-Gflow=true, pretrain=ImageNet, GFLOPS x views=143 x N/A2018.1277.293
SlowFastsampling=8x8, backbone=ResNet-50, GFLOPS x views=65.7 x 302018.127792.6
SlowFastBackbone=ResNet-502022.017792.6
SlowFastBackbone=ResNet50, Pretrain=ImageNet, Frame=8+32, #Param.=34.4M, GFLOPS x Views=65.7×3×102023.037792.6
TANetBackbone=ResNet50, Pretrain=ImageNet, Frame=16, #Param.=26M, GFLOPS x Views=86×3×102023.0376.992.9
irCSNBackbone=irCSN-152, Pre-train=none2022.0176.892.5
Nonlocalbackbone=ResNet-50, flow=false, pretrain=ImageNet, GFLOPS x views=282 x 302018.1276.592.6
E3DBackbone=E3D-M, Pretrain=No pretrain, Frame=16, #Param.=3.4M, GFLOPS x Views=4.7×3×102023.0376.492.5
TEABackbone=ResNet50, Pretrain=ImageNet, Frame=16, GFLOPS x Views=70×3×102023.0376.192.5
X3D-Mpre-train=None, FLOPs=6.2G, views=3x10, Param=3.8M2021.047692.3
MViT-Spre-train=None, FLOPs=32.9G, views=1x5, Param=26.1M2021.047692.1
X3D-MGFLOPS=186, Parameters=3.8M2021.037692.3
X3DBackbone=X3D-M, Pretrain=No pretrain, Frame=16, #Param.=3.8M, GFLOPS x Views=6.2×3×102023.037692.3
Two-Stream I3Dflow=true, pretrain=ImageNet, GFLOPS x views=216 x N/A2018.1275.792
Two-Stream I3DBackbone=InceptionV1, Pretrain=ImageNet, Frame=64, #Param.=25M, GFLOPS x Views=216×N/A2023.0375.792
SlowFastsampling=4x16, backbone=ResNet-50, GFLOPS x views=36.1 x 302018.1275.692.1
ViT-B-VTNpre-train=ImageNet-1K, FLOPs=4218G, views=1x1, Param=114.0M2021.0475.692.4
MoViNet-A2GFLOPS=10.3, Parameters=4.8M2021.037592.3
MoViNetBackbone=MoViNet-A2, Pretrain=No pretrain, Frame=50, #Param.=4.6M, GFLOPS x Views=10.3×1×12023.037592.3
SlowOnlyBackbone=ResNet50, Pretrain=ImageNet, Frame=8, GFLOPS x Views=42×3×102023.0374.891.6
S3D-GBackbone=BN-Inception, Pre-train=ImageNet2022.0174.793.4
TSMBackbone=ResNet50, Pretrain=ImageNet, Frame=16, #Param.=24.3M, GFLOPS x Views=65×3×102023.0374.791.4
S3D-GBackbone=InceptionV1, Pretrain=ImageNet, Frame=64, GFLOPS x Views=71.4×3×102023.0374.793.4
R(2+1)DBackbone=ResNet-34, Pre-train=Sports1M2022.0174.391.4
R(2+1)Dflow=false, GFLOPS x views=304 x 1152018.1273.990.9
R(2+1)DBackbone=ResNet50, Pretrain=ImageNet, Frame=16, #Param.=63.6M, GFLOPS x Views=67×3×102023.0373.791.6
X3D-SGFLOPS=76.1, Parameters=3.8M2021.0373.5—
MoViNet-A1GFLOPS=6.02, Parameters=4.6M2021.0372.791.2
TSNBackbone=ResNet50, Pretrain=ImageNet, Frame=25, #Param.=24.3M, GFLOPS x Views=80×1×102023.0372.590.2
I3Dflow=false, pretrain=ImageNet, GFLOPS x views=108 x N/A2018.1272.190.3
I3DBackbone=BN-Inception, Pre-train=ImageNet2022.0172.190.3
I3DBackbone=InceptionV1, Pretrain=ImageNet, Frame=64, #Param.=12M, GFLOPS x Views=108×N/A2023.0372.190.3
R(2+1)Dflow=false, GFLOPS x views=152 x 1152018.127290