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Video Recognition on Kinetics-400 (test)

90.25ASRI2V
13.8133.65553.573.345Dec 10, 2021

Evaluation results

MethodLinks
I2VSource Image Model=Resnet-101, Target Video Model=TPN-502021.1290.25———
ENS-I2VSource Image Model=Ensemble, Target Video Model=TPN-502021.1288———
I2VSource Image Model=Resnet-101, Target Video Model=TPN-1012021.1287.25———
ENS-I2VSource Image Model=Ensemble, Target Video Model=TPN-1012021.1285.75———
ENS-I2VSource Image Model=Ensemble, Target Video Model=SlowFast-1012021.1279.75———
I2VSource Image Model=Resnet-101, Target Video Model=SlowFast-502021.1277———
ENS-I2VSource Image Model=Ensemble, Target Video Model=SlowFast-502021.1276.5———
I2VSource Image Model=Resnet-101, Target Video Model=SlowFast-1012021.1274.75———
ENS-I2VSource Image Model=Ensemble, Target Video Model=NL-502021.1272.25———
I2VSource Image Model=Vgg-16, Target Video Model=TPN-502021.1270.5———
I2VSource Image Model=Alexnet, Target Video Model=TPN-502021.1269.5———
ENS-I2VSource Image Model=Ensemble, Target Video Model=NL-1012021.1265———
I2VSource Image Model=Resnet-101, Target Video Model=NL-502021.1264.5———
I2VSource Image Model=Squeezenet, Target Video Model=SlowFast-1012021.1262.5———
I2VSource Image Model=Alexnet, Target Video Model=SlowFast-1012021.1261.5———
I2VSource Image Model=Squeezenet, Target Video Model=SlowFast-502021.1260.25———
I2VSource Image Model=Alexnet, Target Video Model=TPN-1012021.1259.75———
I2VSource Image Model=Alexnet, Target Video Model=SlowFast-502021.1259.5———
I2VSource Image Model=Vgg-16, Target Video Model=SlowFast-502021.1259———
I2VSource Image Model=Vgg-16, Target Video Model=TPN-1012021.1259———
I2VSource Image Model=Squeezenet, Target Video Model=TPN-502021.1258.5———
I2VSource Image Model=Vgg-16, Target Video Model=SlowFast-1012021.1257.75———
I2VSource Image Model=Resnet-101, Target Video Model=NL-1012021.1256.25———
I2VSource Image Model=Squeezenet, Target Video Model=TPN-1012021.1255.5———
I2VSource Image Model=Alexnet, Target Video Model=NL-502021.1254.75———
DRSource Image Model=Resnet-101, Target Video Model=SlowFast-502021.1252.25———
I2VSource Image Model=Squeezenet, Target Video Model=NL-502021.1251———
DRSource Image Model=Resnet-101, Target Video Model=SlowFast-1012021.1249———
I2VSource Image Model=Vgg-16, Target Video Model=NL-502021.1246.25———
I2VSource Image Model=Alexnet, Target Video Model=NL-1012021.1244———
DRSource Image Model=Alexnet, Target Video Model=SlowFast-1012021.1243———
DRSource Image Model=Resnet-101, Target Video Model=TPN-502021.1242.75———
DRSource Image Model=Alexnet, Target Video Model=SlowFast-502021.1241.75———
DRSource Image Model=Resnet-101, Target Video Model=TPN-1012021.1241.5———
DRSource Image Model=Alexnet, Target Video Model=TPN-502021.1239———
I2VSource Image Model=Vgg-16, Target Video Model=NL-1012021.1239———
I2VSource Image Model=Squeezenet, Target Video Model=NL-1012021.1237.75———
DRSource Image Model=Resnet-101, Target Video Model=NL-502021.1237.25———
DRSource Image Model=Squeezenet, Target Video Model=SlowFast-1012021.1237———
DRSource Image Model=Vgg-16, Target Video Model=SlowFast-1012021.1236.75———
DRSource Image Model=Squeezenet, Target Video Model=SlowFast-502021.1236.5———
DRSource Image Model=Vgg-16, Target Video Model=SlowFast-502021.1235.75———
DRSource Image Model=Alexnet, Target Video Model=NL-502021.1231.5———
DRSource Image Model=Alexnet, Target Video Model=TPN-1012021.1231———
DRSource Image Model=Squeezenet, Target Video Model=TPN-502021.1229.5———
DRSource Image Model=Vgg-16, Target Video Model=TPN-502021.1229———
DRSource Image Model=Resnet-101, Target Video Model=NL-1012021.1225.5———
DRSource Image Model=Squeezenet, Target Video Model=NL-502021.1225———
DRSource Image Model=Squeezenet, Target Video Model=TPN-1012021.1224.25———
DRSource Image Model=Vgg-16, Target Video Model=TPN-1012021.1223.75———
DRSource Image Model=Vgg-16, Target Video Model=NL-502021.1223———
DRSource Image Model=Alexnet, Target Video Model=NL-1012021.1222———
DRSource Image Model=Squeezenet, Target Video Model=NL-1012021.1217———
DRSource Image Model=Vgg-16, Target Video Model=NL-1012021.1216.75———
ActionCLIP-B/16Evaluation Protocol=Adapting, Inputs (frames×crops×clips)=32×10×3, GFLOPs=563, Backbone=ViT-B/162026.05—83.896.2—
AIM-B/16Evaluation Protocol=Adapting, Inputs (frames×crops×clips)=8×1×3, GFLOPs=202, Backbone=ViT-B/162026.05—83.996.3—
AIM-L/14Evaluation Protocol=Adapting, Inputs (frames×crops×clips)=8×1×3, GFLOPs=934, Backbone=ViT-L/142026.05—86.897.2—
DUALPATH-L/14Evaluation Protocol=Adapting, Inputs (frames×crops×clips)=32×1×3, Backbone=ViT-L/142026.05—87.797.8—
ETL-ViCLIP-B/16Evaluation Protocol=Adapting, Inputs (frames×crops×clips)=8×4×3, Backbone=ViT-B/162026.05—82.296.2—
EVL ViT-B/16Pretraining=CLIP, #Frames=8 x 3, GFLOPS=4442022.08—82.9——
EVL ViT-B/16Pretraining=CLIP, #Frames=16 x 3, GFLOPS=8882022.08—83.6——
EVL ViT-B/16Pretraining=CLIP, #Frames=32 x 3, GFLOPS=17772022.08—84.2——
EVL ViT-L/14Pretraining=CLIP, #Frames=8 x 3, GFLOPS=20222022.08—86.3——
EVL ViT-L/14Pretraining=CLIP, #Frames=16 x 3, GFLOPS=40442022.08—87——
EVL ViT-L/14Pretraining=CLIP, #Frames=32 x 3, GFLOPS=80882022.08—87.3——
EVL ViT-L/14Pretraining=CLIP, Resolution=336px, #Frames=32 x 3, GFLOPS=181962022.08—87.7——
FocusVideo-B/16Evaluation Protocol=Adapting, Inputs (frames×crops×clips)=8×4×3, GFLOPs=204, Backbone=ViT-B/162026.05—84.196.5—
FocusVideo-B/16Evaluation Protocol=Adapting, Inputs (frames×crops×clips)=32×4×3, GFLOPs=816, Backbone=ViT-B/162026.05—84.796.8—
FocusVideo-L/14Evaluation Protocol=Adapting, Inputs (frames×crops×clips)=8×4×3, GFLOPs=914, Backbone=ViT-L/142026.05—87.297.7—
FocusVideo-L/14Evaluation Protocol=Adapting, Inputs (frames×crops×clips)=32×4×3, GFLOPs=3656, Backbone=ViT-L/142026.05—8897.9—
FoPEResolution=160, YaRN=false, Backbone=TimeSformer, Training Resolution=224 x 2242026.06———69.93
FoPE + YaRNResolution=1024, YaRN=true, Backbone=TimeSformer, Training Resolution=224 x 2242026.06———55.87
irCSN-152Pretraining=IG-65M, #Frames=32 x 30, GFLOPS=29012022.08—82.6——
Learnable PEResolution=160, YaRN=false, Backbone=TimeSformer, Training Resolution=224 x 2242026.06———70.05
M2-CLIP-B/16Evaluation Protocol=Adapting, Inputs (frames×crops×clips)=8×4×3, GFLOPs=214, Backbone=ViT-B/162026.05—83.496.3—
M2-CLIP-B/16Evaluation Protocol=Adapting, Inputs (frames×crops×clips)=32×4×3, GFLOPs=842, Backbone=ViT-B/162026.05—84.196.8—
M2-CLIP-L/14Evaluation Protocol=Adapting, Inputs (frames×crops×clips)=32×4×3, Backbone=ViT-L/142026.05—8797.6—
MoTE-B/16Evaluation Protocol=Tuning, Inputs (frames×crops×clips)=8×4×3, GFLOPs=141, Backbone=ViT-B/162026.05—8396.3—
MoTE-L/14Evaluation Protocol=Tuning, Inputs (frames×crops×clips)=8×4×3, GFLOPs=649, Backbone=ViT-L/142026.05—86.897.5—
MoTE-L/14Evaluation Protocol=Tuning, Inputs (frames×crops×clips)=16×4×3, GFLOPs=1299, Backbone=ViT-L/142026.05—87.297.7—
MTV-LPretraining=JFT, #Frames=32 x 12, GFLOPS=180502022.08—84.3——
MViT-LPretraining=MaskFeat, K600, #Frames=16 x 10, GFLOPS=37702022.08—85.1——
MViT-SPretraining=ImageNet-21k, #Frames=16 x 10, GFLOPS=7102022.08—82.6——
nD-RoPEResolution=160, YaRN=false, Backbone=TimeSformer, Training Resolution=224 x 2242026.06———70.63
nD-RoPEResolution=224, YaRN=false, Backbone=TimeSformer, Training Resolution=224 x 2242026.06———75.85
nD-RoPEResolution=512, YaRN=false, Backbone=TimeSformer, Training Resolution=224 x 2242026.06———67.48
nD-RoPEResolution=1024, YaRN=false, Backbone=TimeSformer, Training Resolution=224 x 2242026.06———29.21
nD-RoPE + YaRNResolution=224, YaRN=true, Backbone=TimeSformer, Training Resolution=224 x 2242026.06———75.85
nD-RoPE + YaRNResolution=512, YaRN=true, Backbone=TimeSformer, Training Resolution=224 x 2242026.06———72.91
nD-RoPE + YaRNResolution=1024, YaRN=true, Backbone=TimeSformer, Training Resolution=224 x 2242026.06———59.23
Omnivore-BPretraining=IN1k + SUN, #Frames=32 x 12, GFLOPS=33842022.08—83.3——
OST-B/16Evaluation Protocol=Tuning, Inputs (frames×crops×clips)=16×1×1, Backbone=ViT-B/162026.05—83.2——
RoPE-AxialResolution=160, YaRN=false, Backbone=TimeSformer, Training Resolution=224 x 2242026.06———66.25
RoPE-Axial + APEResolution=160, YaRN=false, Backbone=TimeSformer, Training Resolution=224 x 2242026.06———66.24
RoPE-MixedResolution=160, YaRN=false, Backbone=TimeSformer, Training Resolution=224 x 2242026.06———66.76
RoPE-Mixed + APEResolution=160, YaRN=false, Backbone=TimeSformer, Training Resolution=224 x 2242026.06———66.47
ST-Adapter-B/16Evaluation Protocol=Adapting, Inputs (frames×crops×clips)=8×1×3, GFLOPs=148, Backbone=ViT-B/162026.05—8295.7—
ST-Adapter-B/16Evaluation Protocol=Adapting, Inputs (frames×crops×clips)=32×1×3, GFLOPs=607, Backbone=ViT-B/162026.05—82.796.2—
ST-Adapter-L/14Evaluation Protocol=Adapting, Inputs (frames×crops×clips)=8×1×3, GFLOPs=687, Backbone=ViT-L/142026.05—86.797.5—
ST-Adapter-L/14Evaluation Protocol=Adapting, Inputs (frames×crops×clips)=32×1×3, GFLOPs=2749, Backbone=ViT-L/142026.05—87.297.6—