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Action Recognition on Something-Something v1 (test)

65.6Top-1 AccuracyATM
48.23252.74157.2561.759Dec 2, 2019Jul 9, 2020Feb 15, 2021Sep 24, 2021May 2, 2022Dec 9, 2022Jul 18, 2023

Evaluation results

MethodLinks
ATMBackbone=ViT-L/14, Pre-training=Merged-2B, Frames × Crops × Clips=16×3×2, GFLOPs=842×62023.0765.6—
ATMBackbone=ViT-L/14, Pre-training=WIT-400M, Frames × Crops × Clips=16×3×2, GFLOPs=842×62023.0764—
ATMYear=2023, Backbone=ViT-L/14, Pre-training=WIT-400M, Frames × Crops × Clips=16×3×1, GFLOPs=842×32023.0763.7—
UniFormerV2Year=2023, Backbone=ViT-L/14, Pre-training=WIT-400M, Frames × Crops × Clips=32×3×1, GFLOPs=52002023.0762.7—
ATMBackbone=ViT-B/16, Pre-training=WIT-400M, Frames × Crops × Clips=32×3×1, GFLOPs=378×32023.0761.3—
ATM_EnBackbone=ResNet101, Pre-training=ImageNet-1K, Frames × Crops × Clips=(8+16+32)×1×1, GFLOPs=4692023.0760—
ATM_EnYear=2023, Backbone=ResNet101, Pre-training=ImageNet-1K, Frames × Crops × Clips=(8+16)×1×1, GFLOPs=2012023.0758.6—
ATM_EnBackbone=ResNet50, Pre-training=ImageNet-1K, Frames × Crops × Clips=(8+16)×1×1, GFLOPs=1112023.0757.6—
SIFA-TransformerBackbone=Swin-B, GFLOPS x views=270x32022.0657.385.1
ATMBackbone=ResNet101, Pre-training=ImageNet-1K, Frames × Crops × Clips=16×1×1, GFLOPs=1342023.0757.2—
BQN EnPretrain=ImageNet + K400, Backbone=TSM R101 + X3D-M, Frames × Crops × Clips=(48+48) × 3 × 2, FLOPs=241G × 3 × 2, #Param.=92M2021.0357.184.2
ATMYear=2023, Backbone=ResNet50, Pre-training=ImageNet-1K, Frames × Crops × Clips=32×1×1, GFLOPs=1482023.0757.1—
TDN_EnYear=2021, Backbone=ResNet101, Pre-training=ImageNet-1K, Frames × Crops × Clips=(8+16)×1×1, GFLOPs=1982023.0756.8—
CT-Net_ENBackbone=2D (R50)×4, #Frame=8+12+16+24, GFLOPS=2802021.0656.683.9
SELFYNet-TSM-R50 EN#frame=8+16, FLOPs x clips=114 G x 22021.0256.684.4
ATMBackbone=ResNet50, Pre-training=ImageNet-1K, Frames × Crops × Clips=16×1×1, GFLOPs=742023.0756.3—
SIFA-NetBackbone=R101, GFLOPS x views=157x3, Input clip length=642022.0656.184
SELFYNet-TSM-R50 EN#frame=8+16, FLOPs x clips=114 G x 12021.0255.883.9
SELFY_EnYear=2021, Backbone=ResNet50, Pre-training=ImageNet-1K, Frames × Crops × Clips=(8+16)×1×1, GFLOPs=1142023.0755.8—
SIFA-NetBackbone=R101, GFLOPS x views=78x3, Input clip length=322022.0655.483.1
TDNBackbone=R101, GFLOPS x views=1322022.0655.383.3
TDNYear=2021, Backbone=ResNet101, Pre-training=ImageNet-1K, Frames × Crops × Clips=16×1×1, GFLOPs=1322023.0755.3—
SIFA-NetBackbone=R50, GFLOPS x views=112x3, Input clip length=642022.0655.283.3
GSMBackbone=Inception, GFLOPS x views=2682022.0655.2—
MSNet-R50 En#frame=16+8, FLOPs=101G x 10, #param=49.2M, flow=false2020.0755.184
MSNet-TSM-R50 EN#frame=8+16, FLOPs x clips=101 G x 102021.0255.184
TDN_EnYear=2021, Backbone=ResNet50, Pre-training=ImageNet-1K, Frames × Crops × Clips=(8+16)×1×1, GFLOPs=1082023.0755.1—
BQNPretrain=ImageNet, Backbone=TSM R101, Frames × Crops × Clips=48 × 3 × 2, FLOPs=231G × 3 × 2, #Param.=85.4M2021.0354.981.7
MSNet-R50 En#frame=16+8, FLOPs=101G x 1, #param=49.2M, flow=false2020.0754.483.8
SELFYNet-TSM R50#frame=16, FLOPs x clips=77 G x 12021.0254.382.9
BQNPretrain=ImageNet, Backbone=TSM R50, Frames × Crops × Clips=48 × 3 × 2, FLOPs=121G × 3 × 2, #Param.=47.4M2021.0354.382
SIFA-NetBackbone=R50, GFLOPS x views=51x3, Input clip length=322022.065482.2
MVFNet_EnYear=2021, Backbone=ResNet50, Pre-training=ImageNet-1K, Frames × Crops × Clips=(8+16)×3×2, GFLOPs=99×62023.0754—
SSAEnBackbone=ResNet-50, Modality=RGB, Frames=16+82021.0554—
TDNBackbone=R50, GFLOPS x views=722022.0653.982.1
BQNPretrain=K400, Backbone=X3D-M, Frames × Crops × Clips=48 × 3 × 2, FLOPs=9.7G × 3 × 2, #Param.=6.6M2021.0353.781.8
SIFA-NetBackbone=R101, GFLOPS x views=39x3, Input clip length=162022.0653.782
CT-NetBackbone=2D R50, #Frame=16×3×2, GFLOPS=4472021.0653.481.7
BQNPretrain=ImageNet, Backbone=TSM R50, Frames × Crops × Clips=24 × 3 × 2, FLOPs=60G × 3 × 2, #Param.=47.4M2021.0353.382
CorrNetBackbone=R101, GFLOPS x views=224x302022.0653.3—
MG-TEABackbone=R1012022.0653.3—
MG-TEABackbone=R502022.0653.2—
SIFA-NetBackbone=R50, GFLOPS x views=25x3, Input clip length=162022.0652.781.9
TSM+W3Backbone=R50, #Frame=16, GFLOPs=67.12020.0452.681.3
TSM Two-stream#frame=16+16, FLOPs=129G x 1, #param=48.6M, flow=true, reproduced=true2020.0752.681.9
TSM-R50 Two-Streamflow=true, #frame=16+16, FLOPs x clips=129 G x 12021.0252.681.9
CT-NetBackbone=2D R50, #Frame=16, GFLOPS=752021.0652.580.9
SELFYNet-TSM R50#frame=8, FLOPs x clips=37 G x 12021.0252.580.8
TEINetBackbone=R50, GFLOPS x views=992022.0652.5—
TEINet_EnYear=2020, Backbone=ResNet50, Pre-training=ImageNet-1K, Frames × Crops × Clips=(8+16)×1×1, GFLOPs=992023.0752.5—
TEA-R50#frame=16, FLOPs x clips=70 G x 302021.0252.381.9
TEAPretrain=ImageNet, Backbone=R50, Frames × Crops × Clips=16 × 3 × 10, FLOPs=70G × 3 × 10, #Param.=24.4M2021.0352.381.9
TEAYear=2020, Backbone=ResNet50, Pre-training=ImageNet-1K, Frames × Crops × Clips=16×3×10, GFLOPs=70×302023.0752.3—
MSNet-R50#frame=16, FLOPs=67G x 1, #param=24.6M, flow=false2020.0752.182.3
MSNet-TSM-R50#frame=16, FLOPs x clips=67 G x 12021.0252.182.3
MSNetBackbone=R50, GFLOPS x views=672022.0652.182.3
MSNetYear=2020, Backbone=ResNet50, Pre-training=ImageNet-1K, Frames × Crops × Clips=16×1×1, GFLOPs=672023.0752.1—
PEM+TDLossBackbone=2D R50+TIM, #Frame=16×3×2, GFLOPS=5172021.0652—
TEABackbone=2D Res2Net50, #Frame=16, GFLOPS=702021.0651.980.3
CT-NetBackbone=2D R50, #Frame=8×3×2, GFLOPS=2242021.0651.780.1
BQNPretrain=ImageNet, Backbone=TSM R50, Frames × Crops × Clips=24 × 1 × 1, FLOPs=60G × 1 × 1, #Param.=47.4M2021.0351.780.5
CorrNetYear=2020, Backbone=ResNet101, Pre-training=ImageNet-1K, Frames × Crops × Clips=32×3×10, GFLOPs=224×302023.0751.7—
Ours-cumulative#Frames=all, #Clusters=162021.0351.4—
MUFIPre-train=Multi-Faceted, Evaluation Protocol=fine-tuning2022.0151.281
MSNet-R50#frame=8, FLOPs=34G x 1, #param=24.6M, flow=false2020.0750.980.3
PEM+TDLossBackbone=2D R50+TIM, #Frame=16, GFLOPS=662021.0650.9—
CorrNet-R101#frame=32, FLOPs x clips=187 G x 102021.0250.9—
STM#frame=16, FLOPs=67G x 30, #param=24.0M, flow=false2020.0750.780.4
STM#Frames=162021.0350.7—
TSMBackbone=ResNet-50, Pretrain=Kinetics, Frames=16+16, Modality=RGB+Flow2019.1250.7—
SELFYNet-R50#frame=8, FLOPs x clips=37 G x 12021.0250.779.3
STM-R50#frame=16, FLOPs x clips=67 G x 302021.0250.780.4
STMPre-train=ImageNet2022.0150.780.4
STMBackbone=R50, GFLOPS x views=67x302022.0650.780.4
TSM 2-streamBackbone=ResNet-50, Modality=RGB+flow, Frames=16+162021.0550.7—
BQNPretrain=None, Backbone=X3D-M, Frames × Crops × Clips=48 × 3 × 2, FLOPs=9.7G × 3 × 2, #Param.=6.6M2021.0350.679.2
PAN FullPretrain=ImageNet, Backbone=TSM R50, Frames × Crops × Clips=40 × 1 × 2, FLOPs=67.7G × 1 × 22021.0350.579.2
PEM+TDLossBackbone=2D R50+TIM, #Frame=8×3×2, GFLOPS=2592021.0650.4—
DFB-Net#frame=16, FLOPs=N/A x 1, flow=false2020.0750.179.5
CT-NetBackbone=2D R50, #Frame=8, GFLOPS=372021.0650.178.8
STDFBPre-train=ImageNet2022.0150.179.5
TEINetBackbone=2D R50, #Frame=16, GFLOPS=662021.0649.9—
PEM+TDLossBackbone=2D R50+TIM, #Frame=8, GFLOPS=332021.0649.8—
ABM-C-inPre-train=ImageNet2022.0149.8—
TSMenBackbone=R50, #Frame=8+16, GFLOPs=982020.0449.778.5
TSM En#frame=16+8, FLOPs=98G x 1, #param=48.6M, flow=false2020.0749.778.5
TSM EnPretrain=ImageNet, Backbone=R50, Frames × Crops × Clips=(16+8) × 1 × 1, FLOPs=98G, #Param.=48.6M2021.0349.778.5
TSM_EnYear=2019, Backbone=ResNet50, Pre-training=ImageNet-1K, Frames × Crops × Clips=(8+16)×1×1, GFLOPs=982023.0749.7—
ECOen LightRGB+FlowBackbone=BNI+3D R18, #Frame=92+922020.0449.5—
ECO Two-stream#frame=92+92, FLOPs=N/A x 1, #param=300M, flow=false2020.0749.5—
Ours-cumulative#Frames=all, #Clusters=82021.0349.5—
ir-CSNBackbone=3D R152, #Frame=32×1×10, GFLOPS=9672021.0649.3—
CorrNetBackbone=3D R50, #Frame=32×1×10, GFLOPS=11502021.0649.3—
ir-CSNPretrain=None, Backbone=3D R152, Frames × Crops × Clips=32 × 1 × 10, FLOPs=96.7G × 1 × 102021.0349.3—
SmallBigBackbone=R50, GFLOPS x views=1052022.0649.379.5
CorrNetBackbone=R50, GFLOPS x views=115x102022.0649.3—
STM#Frames=82021.0349.2—
I3D+RSTGPre-train=ImageNet+K4002022.0149.278.8
TSM+W3Backbone=R50, #Frame=8, GFLOPs=33.52020.044977.3
TEABackbone=2D Res2Net50, #Frame=8, GFLOPS=352021.0648.978.1