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Video Action Recognition on Kinetics-600

89.8Top-1 AccEVA
79.482.184.887.5Jun 9, 2021Sep 17, 2021Dec 26, 2021Apr 6, 2022Jul 15, 2022Oct 23, 2022Feb 1, 2023

Evaluation results

MethodLinks
EVAprotocol=fine-tuning2022.1189.8—
EVAPre-training Data=K-722 (merged K-400, K-600, K-700)2022.1189.8—
mPLUG-2Setting=Fine-tuning2023.0289.898.3
CoCaEvaluation Protocol=finetuned2022.0589.4—
CoCaEvaluation Protocol=finetuned2022.1189.4—
CoCaEvaluation Protocol=frozen2022.0588.5—
CoCaEvaluation Protocol=frozen2022.1188.5—
MaskFeat2022.0588.3—
MaskFeatprotocol=fine-tuning2022.1188.3—
MaskFeat2022.1188.3—
X-CLIP2022.1188.3—
Florence2022.0588—
Florence2022.1188—
CoVeR2022.0587.9—
CoVeR2022.1187.9—
CoVeRSetting=Fine-tuning2023.0287.997.8
FlorencePretraining Data=FLD-900M, Views=4 x 3, Params=647M2021.1187.897.8
FlorencePretraining Data=FLD-900M, Views=4 x 3, Params=647M2021.1187.897.8
Florenceprotocol=fine-tuning2022.1187.8—
FlorenceSetting=Fine-tuning2023.0287.897.8
mPLUG-2BaseSetting=Fine-tuning2023.0286.797.2
TokenLearner 16at18+L/10Pretraining Data=JFT-300M, Views=4 x 3, Params=460M2021.1186.397
TokenLearner 16at18+L/10Pretraining Data=JFT-300M, Views=4 x 3, Params=460M2021.1186.397
TokenLearnerSetting=Fine-tuning2023.0286.397
VideoSwin-LPretraining Data=ImageNet-22K, Views=10 x 5, Params=200M2021.1186.197.3
VideoSwin-LPretraining Data=ImageNet-22K, Views=10 x 5, Params=200M2021.1186.197.3
VideoSwin-LSetting=Fine-tuning2023.0286.197.3
VideoSwin-LPretraining Data=ImageNet-22K, Views=4 x 3, Params=200M2021.1185.997.1
VideoSwin-LPretraining Data=ImageNet-22K, Views=4 x 3, Params=200M2021.1185.997.1
ViViT-H/16x2Pretraining Data=JFT-300M, Views=4 x 3, Params=648M2021.1185.896.5
ViViT-H/16x2Pretraining Data=JFT-300M, Views=4 x 3, Params=648M2021.1185.896.5
ViViT-HSetting=Fine-tuning2023.0285.896.5
MoViNet2022.0584.8—
MoViNetSetting=Fine-tuning2023.0284.8—
ViViT2022.0584.3—
MVIT-B-24GFLOPS × views=236×1×52021.0683.896.3
VATT2022.0583.6—
VATTSetting=Fine-tuning2023.0283.696.6
ViViT-LPretrain=IN-21K, GFLOPS × views=3992×3×42021.068395.7
Mformer-HRPretrain=IN-21K, GFLOPS × views=958.8×3×102021.0682.796.1
Tformer-HRPretrain=IN-21K, GFLOPS × views=1703×3×12021.0682.496
Mformer-LPretrain=IN-21K, GFLOPS × views=1185.1×3×102021.0682.296
TimeSformer-LSetting=Fine-tuning2023.0282.295.6
X3D-XLGFLOPS × views=48.4×3×102021.0681.995.5
SlowFastGFLOPS × views=234×3×102021.0681.895.1
MformerPretrain=IN-21K, GFLOPS × views=369.5×3×102021.0681.695.6
LGD-3DPretrain=IN-1K2021.0681.595.6
AttnNAS2021.0679.894.4