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Action Recognition on Kinetics-600 (val)

91.9Top-1 AccInternVideo2_s1-6B
40.10853.5546780.446Dec 10, 2018Oct 27, 2019Sep 13, 2020Jul 31, 2021Jun 18, 2022May 5, 2023Mar 22, 2024

Evaluation results

MethodLinks
InternVideo2_s1-6BTraining Data=IV-2M, Setting=16 x 224, Inference Mode=End-to-end finetuning2024.0391.9—
InternVideo2_s1-6BTraining Data=IV-2M, Setting=8 x 224, Inference Mode=End-to-end finetuning2024.0391.7—
InternVideo2_s1-1BTraining Data=IV-1.1M, Setting=16 x 224, Inference Mode=End-to-end finetuning2024.0391.6—
InternVideo2_s1-1BTraining Data=IV-1.1M, Setting=8 x 224, Inference Mode=End-to-end finetuning2024.0391.4—
InternVideoTraining Data=V-12M, Setting=ensemble, Inference Mode=End-to-end finetuning2024.0391.3—
MTV-HTraining Data=IV-370M, Setting=32 x 280, Inference Mode=End-to-end finetuning2024.0390.3—
UniFormerV2-LTraining Data=IV-401M, Setting=64 x 336, Inference Mode=End-to-end finetuning2024.0390.1—
VideoMAEv2-gTraining Data=V-1.35M, Setting=64 x 266, Inference Mode=End-to-end finetuning2024.0389.9—
CoCa-gTraining Data=I-3B, Setting=16 x 576, Inference Mode=End-to-end finetuning2024.0389.4—
Hiera-HTraining Data=V-0.25M, Setting=16 x 224, Inference Mode=End-to-end finetuning2024.0388.8—
CoVeRTraining Data=IV-3B, Setting=16 x 448, Inference Mode=End-to-end finetuning2024.0387.9—
MoViNet-A6GFLOPS=386, Param=15.7M, Augmentation=AutoAugment2021.0384.896.5
MoViNet-A5GFLOPS=281, Param=15.7M, Augmentation=AutoAugment2021.0384.396.4
MoViNet-A6GFLOPS=386, Param=15.7M2021.0383.596.2
LGD-3D Two-streamBackbone=ResNet-101, Modality=Two-stream2019.0683.196.2
MoViNet-A4GFLOPS=105, Param=4.9M, Augmentation=AutoAugment2021.038396
MoViNet-A5GFLOPS=281, Param=15.7M2021.0382.795.7
Three-stream iTXNBackbone=mixed, Modality=Three-stream2019.0682.495.8
Three-stream AttentionBackbone=mixed, Modality=Three-stream2019.0682.396
X3D-XLGFLOPS=1452, Param=11.0M2021.0381.995.5
SlowFast 16×8, R101+NLinput sampling=16×8, backbone=ResNet-101, Nonlocal=true, GFLOPS × views=234 × 302018.1281.895.1
SlowFastsampling=16x8, backbone=ResNet-101, NL=true, GFLOPS x views=234 x 302018.1281.895.1
SlowFast-R101GFLOPS=7020, Param=59.9M2021.0381.895.1
LGD-3D RGBBackbone=ResNet-101, Modality=RGB2019.0681.595.6
MoViNet-A3GFLOPS=56.9, Param=5.3M, Augmentation=AutoAugment2021.0381.395.3
MoViNet-A4GFLOPS=105, Param=4.9M2021.0381.294.9
SlowFast 16×8, R101input sampling=16×8, backbone=ResNet-101, GFLOPS × views=213 × 302018.1281.195.1
SlowFastsampling=16x8, backbone=ResNet-101, GFLOPS x views=213 x 302018.1281.195.1
P3D Two-streamBackbone=ResNet-152, Modality=Two-stream2019.0680.994.9
MoViNet-A3GFLOPS=56.9, Param=5.3M2021.0380.894.5
SlowFast 8×8, R101input sampling=8×8, backbone=ResNet-101, GFLOPS × views=106 × 302018.1280.494.8
SlowFastsampling=8x8, backbone=ResNet-101, GFLOPS x views=106 x 302018.1280.494.8
SlowFast 8×8, R50input sampling=8×8, backbone=ResNet-50, GFLOPS × views=65.7 × 302018.1279.994.5
SlowFastsampling=8x8, backbone=ResNet-50, GFLOPS x views=65.7 x 302018.1279.994.5
StNet-IRv2 RGBpretrain=ImgNet+Kin400, GFLOPS × views=N/A2018.1279—
StNet-IRv2 RGBpretrain=ImgNet+Kin400, GFLOPS x views=N/A2018.1279—
StNet RGBBackbone=Inception-ResNet-v2, Modality=RGB2019.0678.9—
SlowFast 4×16, R50input sampling=4×16, backbone=ResNet-50, GFLOPS × views=36.1 × 302018.1278.894
SlowFastsampling=4x16, backbone=ResNet-50, GFLOPS x views=36.1 x 302018.1278.894
X3D-MGFLOPS=186, Param=3.8M2021.0378.894.5
SlowFast-R50GFLOPS=1080, Param=34.4M2021.0378.894
NL I3D RGBBackbone=ResNet-101, Modality=RGB2019.0678.6—
P3D RGBBackbone=ResNet-152, Modality=RGB2019.0678.493.9
MoViNet-A2GFLOPS=10.3, Param=4.8M, Streaming=false2021.0377.593.4
MoViNet-A2GFLOPS=10.4, Param=4.8M, Streaming=true2021.0376.593.3
TSN RGBBackbone=SENet-152, Modality=RGB2019.0676.2—
MoViNet-A1GFLOPS=6.02, Param=4.6M, Streaming=false2021.037692.6
MoViNet-A1GFLOPS=6.06, Param=4.6M, Streaming=true2021.0375.692.8
LGD-3D FlowBackbone=ResNet-101, Modality=Flow2019.067592.4
I3DGFLOPS × views=108 × N/A2018.1271.990.1
I3DGFLOPS x views=108 x N/A2018.1271.990.1
MAXIgt=no, language=K400 dict, GPT3 verbs, vis.encoder=ViT-B/16, frames=162023.0371.692.3
MAXIgt=no, language=K400 dict, GPT3 verbs, vis.encoder=ViT-B/16, frames=16/322023.0371.692.4
MoViNet-A0GFLOPS=2.71, Param=3.1M, Streaming=false2021.0371.590.4
MAXIgt=no, language=K400 dict, GPT3 verbs, BLIP verbs, vis.encoder=ViT-B/16, frames=16/322023.0371.592.5
MAXIgt=no, language=K400 dict, GPT3 verbs, BLIP verbs, vis.encoder=ViT-B/16, frames=162023.0371.492.5
TSN FlowBackbone=SENet-152, Modality=Flow2019.0671.3—
ViFi-CLIPgt=yes, language=K400 dict., vis.encoder=ViT-B/16, frames=322023.0371.292.2
P3D FlowBackbone=ResNet-152, Modality=Flow2019.067190
MAXIgt=no, language=K400 dict., vis.encoder=ViT-B/16, frames=162023.0370.491.5
MoViNet-A0GFLOPS=2.73, Param=3.1M, Streaming=true2021.0370.390.1
Text4Visgt=yes, language=K400 dict., vis.encoder=ViT-L/14, frames=162023.0368.9—
ViFi-CLIP (re-eval)gt=yes, language=K400 dict., vis.encoder=ViT-B/16, frames=162023.0367.790.8
ActionCLIPgt=yes, language=K400 dict., vis.encoder=ViT-B/16, frames=322023.0366.791.6
XCLIPgt=yes, language=K400 dict., vis.encoder=ViT-B/16, frames=322023.0365.286.1
CLIPgt=no, vis.encoder=ViT-B/16, frames=162023.0363.586.8
A5gt=yes, language=K400 dict., vis.encoder=ViT-B/16, frames=322023.0355.881.4
ER-ZSARgt=yes, language=Manual description, vis.encoder=TSM, frames=162023.0342.173.1