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Video Classification on Kinetics-600 (val)

94.4AccuracyFTP-UniFormerV2-L/14
21.329640.299859.2778.2402Apr 4, 2019Jan 31, 2020Nov 29, 2020Sep 28, 2021Jul 27, 2022May 26, 2023Mar 24, 2024

Evaluation results

MethodLinks
FTP-UniFormerV2-L/14Input=32 x 336^2, Crops=2 x 3, TFLOPs=78.72024.0394.499.3—
FTP-UniFormerV2-L/14Input=32 x 224^2, Crops=2 x 3, TFLOPs=18.42024.0393.899.4—
FTP-UniFormerV2-B/16Input=8 x 280^2, Crops=4 x 3, TFLOPs=8.12024.039399—
FTP-UniFormerV2-B/16Input=8 x 224^2, Crops=4 x 3, TFLOPs=2.22024.0392.298.9—
UniFormerV2-L/14Input=32 x 224^2, Crops=2 x 3, TFLOPs=16.02024.0389.598.3—
Hiera-Hbackbone=Hiera-H, pretrain=MAE, FLOPs (G)=1159×3×5, Param=672M2023.0688.8——
VideoMAE V2-gInput=64 x 266^2, Crops=2 x 3, TFLOPs=38.162024.0388.898.2—
Hiera-Lbackbone=Hiera-L, pretrain=MAE, FLOPs (G)=413×3×5, Param=213M2023.0688.3——
MaskFeatInput=40 x 312^2, Crops=4 x 3, TFLOPs=33.942024.0388.398—
VideoMAE V2-HInput=16 x 224^2, Crops=2 x 3, TFLOPs=17.882024.0388.398.1—
MViTv2-LInput=40 x 352^2, Crops=5 x 3, TFLOPs=45.482024.0387.997.9—
UniFormerV2-B/16Input=8 x 224^2, Crops=4 x 3, TFLOPs=1.82024.0387.497.9—
MViTv2-Lbackbone=MViTv2-L, pretrain=MaskFeat, FLOPs (G)=377×1×10, Param=218M2023.0686.4——
MaskFeatInput=64 x 224^2, Crops=4 x 3, TFLOPs=3.772024.0386.497.4—
Swin-L-384↑Pretrain=IN-21K, sampling_config=32x5x10, FLOPs_G=1053502022.0186.197.3—
MViTv2-Lbackbone=MViTv2-L, pretrain=Sup, IN-21K, FLOPs (G)=377×1×10, Param=218M2023.0685.8——
ViViT-HPretrain=JFT-300M, sampling_config=16x3x4, FLOPs_G=997922022.0185.896.5—
MViTv2-BInput=32 x 312^2, Crops=5 x 3, TFLOPs=1.032024.0385.597.2—
UniFormer-BPretrain=IN-1K, sampling_config=32x3x4, FLOPs_G=31082022.0184.996.7—
UniFormer-BPretrain=IN-1K, sampling_config=32x1x4, FLOPs_G=10362022.0184.896.7—
X-ViT (16x)Views=1x3, GFLOPs=8502021.1184.596.3—
X-ViTPretrain=IN-21K, sampling_config=16x3x1, FLOPs_G=8502022.0184.596.3—
TokenLearner 16at12(L/16)Views=4x3, GFLOPs=9,1922021.1184.496—
X-ViT+ATS (16x)Views=1x3, GFLOPs=5212021.1184.496.2—
ViViT-LPretrain=JFT-300M, sampling_config=16x3x4, FLOPs_G=173522022.0184.396.2—
MViT-B-24, 32x3Views=1x5, GFLOPs=7,0802021.1184.196.5—
Swin-BViews=4x3, GFLOPs=3,3842021.118496.5—
Swin-BPretrain=IN-21K, sampling_config=32x3x4, FLOPs_G=33842022.018496.5—
UniFormer-BPretrain=IN-1K, sampling_config=16x1x4, FLOPs_G=3892022.018496.4—
MVIT-BInput=32 x 224^2, Crops=3 x 3, TFLOPs=4.102024.0383.896.3—
MTV-BInput=32 x 320^2, Crops=4 x 3, TFLOPs=4.792024.0383.696.1—
MoViNet-A6sampling_config=120x1x1, FLOPs_G=3862022.0183.596.2—
MViT-B, 32x3sampling_config=32x1x5, FLOPs_G=8502022.0183.496.3—
ViViT-L FEInput=32 x 224^2, Crops=1 x 3, TFLOPs=11.942024.0382.994.6—
UniFormer-SPretrain=IN-1K, sampling_config=16x1x4, FLOPs_G=1672022.0182.895.8—
MoViNet-A5sampling_config=120x1x1, FLOPs_G=2812022.0182.795.7—
Mformer-HRPretrain=IN-21K, sampling_config=16x3x10, FLOPs_G=287642022.0182.796.1—
ViViT-L/16x2Views=4x3, GFLOPs=17,3522021.1182.595.6—
X-ViTPretrain=IN-21K, sampling_config=8x3x1, FLOPs_G=4252022.0182.595.4—
ViViT-LPretrain=IN-21K, sampling_config=16x3x4, FLOPs_G=173522022.0182.595.6—
TimeSformer-HRViews=1x3, GFLOPs=5,1102021.1182.496—
TimeSformer-HRPretrain=IN-21K, sampling_config=16x3x1, FLOPs_G=51092022.0182.496—
TimeSformer-HR+ATSViews=1x3, GFLOPs=3,1032021.1182.296—
TimeSformer-LInput=96 x 224^2, Crops=10 x 3, TFLOPs=7.142024.0382.295.6—
TimeSformer-LPretrain=IN-21K, sampling_config=96x3x1, FLOPs_G=71402022.0182.295.5—
X3D-XL+ATFRViews=10x3, GFLOPs=7682021.1182.195.6—
MViT-B, 16x4sampling_config=16x1x5, FLOPs_G=3532022.0182.195.7—
X3D-XLViews=10x3, GFLOPs=1,4522021.1181.995.5—
X3D-XLsampling_config=16x3x10, FLOPs_G=14522022.0181.995.5—
SlowFast R101+NLViews=10x3, GFLOPs=3,4802021.1181.895.1—
SlowFast R101-NLInput=64 x 224^2, Crops=10 x 3, TFLOPs=7.022024.0381.895.1—
SlowFast+NLsampling_config=16x3x10, FLOPs_G=70202022.0181.895.1—
HATNET2021.1181.6——
LGD-3D R101Views=10x32021.1181.595.6—
LGDPretrain=IN-1K, sampling_config=128xN/A2022.0181.595.6—
SlowFastsampling_config=8x3x10, FLOPs_G=31802022.0180.494.8—
AttentionNASGFLOPs=1,0342021.1179.894.4—
X3D-Msampling_config=16x3x10, FLOPs_G=1862022.0178.894.5—
I3DMFLOPs=111331, Params=12.70M, Batch Size=8, Input Frames=64, Resolution=224x2242019.0471.9——
ResNeXt-101MFLOPs=9652, Params=48.75M, Speed (Titan XP)=122 cps, Speed (Jetson TX2)=7 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0468.3——
EVA CLIP-gzero-shot evaluation protocol=True2022.1164.4——
OpenAI CLIP-Lzero-shot evaluation protocol=True2022.1164.2——
ResNet-101MFLOPs=13664, Params=83.58M, Speed (Titan XP)=142 cps, Speed (Jetson TX2)=8 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0464.18——
Open CLIP-Hzero-shot evaluation protocol=True2022.1163.6——
ResNet-50MFLOPs=9835, Params=44.54M, Speed (Titan XP)=183 cps, Speed (Jetson TX2)=11 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0463——
Open CLIP-gzero-shot evaluation protocol=True2022.1162.2——
ResNet-18MFLOPs=8323, Params=33.36M, Speed (Titan XP)=334 cps, Speed (Jetson TX2)=17 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0457.65——
3D-ShuffleNetV1 2.0xMFLOPs=538, Params=4.76M, Speed (Titan XP)=161 cps, Speed (Jetson TX2)=24 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0456.84——
3D-ShuffleNetV2 2.0xMFLOPs=438, Params=6.64M, Speed (Titan XP)=146 cps, Speed (Jetson TX2)=26 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0455.17——
3D-ShuffleNetV1 1.5xMFLOPs=347, Params=2.92M, Speed (Titan XP)=204 cps, Speed (Jetson TX2)=31 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0452.75——
3D-ShuffleNetV2 1.5xMFLOPs=291, Params=3.16M, Speed (Titan XP)=186 cps, Speed (Jetson TX2)=34 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0452.05——
3D-MobileNetV2 1.0xMFLOPs=561, Params=3.12M, Speed (Titan XP)=93 cps, Speed (Jetson TX2)=9 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0450.65——
3D-MobileNetV1 2.0xMFLOPs=662, Params=14.10M, Speed (Titan XP)=88 cps, Speed (Jetson TX2)=15 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0448.53——
3D-MobileNetV1 1.5xMFLOPs=429, Params=8.22M, Speed (Titan XP)=116 cps, Speed (Jetson TX2)=19 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0448.24——
3D-ShuffleNetV2 1.0xMFLOPs=195, Params=1.91M, Speed (Titan XP)=243 cps, Speed (Jetson TX2)=44 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0446.1——
3D-MobileNetV2 0.7xMFLOPs=325, Params=2.05M, Speed (Titan XP)=130 cps, Speed (Jetson TX2)=13 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0445.59——
3D-ShuffleNetV1 1.0xMFLOPs=199, Params=1.52M, Speed (Titan XP)=269 cps, Speed (Jetson TX2)=49 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0445.31——
3D-SqueezeNetMFLOPs=926, Params=2.15M, Speed (Titan XP)=682 cps, Speed (Jetson TX2)=46 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0440.52——
3D-MobileNetV1 1.0xMFLOPs=241, Params=3.91M, Speed (Titan XP)=164 cps, Speed (Jetson TX2)=31 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0440.07——
3D-MobileNetV2 0.45xMFLOPs=177, Params=1.40M, Speed (Titan XP)=203 cps, Speed (Jetson TX2)=19 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0436.47——
3D-ShuffleNetV1 0.5xMFLOPs=78, Params=0.55M, Speed (Titan XP)=398 cps, Speed (Jetson TX2)=69 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0435.51——
3D-MobileNetV1 0.5xMFLOPs=98, Params=1.17M, Speed (Titan XP)=290 cps, Speed (Jetson TX2)=57 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0431.74——
3D-ShuffleNetV2 0.25xMFLOPs=116, Params=0.83M, Speed (Titan XP)=442 cps, Speed (Jetson TX2)=82 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0425.73——
3D-MobileNetV2 0.2xMFLOPs=63, Params=0.96M, Speed (Titan XP)=357 cps, Speed (Jetson TX2)=42 cps, Batch Size=8, Input Frames=16, Resolution=112x1122019.0424.14——
ActionCLIPEncoder=ViT-B/16, Frames=32, Zero-shot=true2026.06——67.7
DiSTEncoder=ViT-L/14, Frames=32, Zero-shot=true2026.06——75
FROSTEREncoder=ViT-B/16, Frames=8, Zero-shot=true2026.06——74.8
MAXIEncoder=ViT-B/16, Frames=16/32, Zero-shot=true2026.06——71.5
MoTEEncoder=ViT-B/16, Frames=8, Zero-shot=true2026.06——70.2
MoTEEncoder=ViT-L/14, Frames=8, Zero-shot=true2026.06——78.4
MViT-B-24, 32x3FLOPs=236, Views=5x1, Params=52.9M, Training Protocol=from scratch2021.09——83.8
MViT-B, 32x3FLOPs=170, Views=5x1, Params=36.8M, Training Protocol=from scratch2021.09——83.4
Open-MeDeEncoder=ViT-B/16, Frames=8, Zero-shot=true2026.06——73.7
Open-VCLIPEncoder=ViT-B/16, Frames=8, Zero-shot=true2026.06——73
Open-VCLIPEncoder=ViT-L/14, Frames=8, Zero-shot=true2026.06——81.1
OSTEncoder=ViT-B/16, Frames=8, Zero-shot=true2026.06——73.9
OTIEncoder=ViT-L/14, Frames=8, Zero-shot=true2026.06——70.6
R3D-RS-200FLOPs=205, Views=10x3, Params=122.0M, Input Frames=32, Training Protocol=from scratch2021.09——83.1
R3D-RS-200 (48↑)FLOPs=307, Views=10x3, Params=122.0M, Input Frames=48, Training Protocol=from scratch2021.09——83.8
SlowFastFLOPs=213, Views=10x3, Training Protocol=from scratch, Backbone=R101, Setting=16x82021.09——81.1