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Action Detection on AVA v2.2 (val)

46.2mAPFTP-UniFormerV2-L/14
10.3219.63528.9538.265Dec 10, 2018Oct 27, 2019Sep 13, 2020Aug 1, 2021Jun 19, 2022May 7, 2023Mar 24, 2024

Evaluation results

MethodLinks
FTP-UniFormerV2-L/14FLOPS=970G, Param=402M2024.0346.2——
FTP-UniFormerV2-B/16FLOPS=482G, Param=136M2024.0343.9——
Hiera-HFLOPS=1158G, Param=672M2024.0343.3——
VideoMAE V2FLOPS=4220G, Param=1050M2024.0342.6——
LART-MVITFLOPS=3780G, Param=1640M2024.0342.6——
MVD-H (Teacher-H)extra data=IN-1K+K400, extra labels=true, GFLOPs=1192, Param=6332022.1241.1——
MVD-HFLOPS=1192G, Param=633M2024.0341.1——
InternVideoFLOPS=8733G, Param=1300M2024.0341——
UniFormerV2-L/14FLOPS=833G, Param=354M2024.0340.3——
MVD-H (Teacher-H)extra data=IN-1K+K400, extra labels=false, GFLOPs=1192, Param=6332022.1240.1——
VideoMAEBackbone=ViT-H, Pre-train Dataset=Kinetics-400, Extra Labels=true, T x tau=16x4, GFLOPs=1192, Param=633, Image size=224x2242022.0339.5——
VideoMAE ViT-Hextra data=K400, extra labels=true, GFLOPs=1192, Param=6332022.1239.5——
VideoMAE-HFLOPS=1192G, Param=633M2024.0339.5——
VideoMAEBackbone=ViT-L, Pre-train Dataset=Kinetics-700, Extra Labels=true, T x tau=16x4, GFLOPs=597, Param=305, Image size=224x2242022.0339.3——
MaskFeatBackbone=MViT-L, Pre-train Dataset=Kinetics-600, Extra Labels=true, T x tau=40x3, GFLOPs=2828, Param=218, Image size=224x2242022.0338.8——
MVD-L (Teacher-L)extra data=IN-1K+K400, extra labels=true, GFLOPs=597, Param=3052022.1238.7——
UniFormerV2-B/16FLOPS=406G, Param=115M2024.0338.4——
MVD-L (Teacher-L)extra data=IN-1K+K400, extra labels=false, GFLOPs=597, Param=3052022.1237.7——
MaskFeatBackbone=MViT-L, Pre-train Dataset=Kinetics-400, Extra Labels=true, T x tau=40x3, GFLOPs=2828, Param=218, Image size=224x2242022.0337.5——
MaskFeat MViT-Lextra data=K400, extra labels=true, GFLOPs=2828, Param=2182022.1237.5——
MaskFeatFLOPS=2828G, Param=218M2024.0337.5——
VideoMAEBackbone=ViT-L, Pre-train Dataset=Kinetics-400, Extra Labels=true, T x tau=16x4, GFLOPs=597, Param=305, Image size=224x2242022.0337——
VideoMAE ViT-Lextra data=K400, extra labels=true, GFLOPs=597, Param=3052022.1237——
VideoMAE-LFLOPS=597G, Param=305M2024.0337——
VideoMAEBackbone=ViT-H, Pre-train Dataset=Kinetics-400, Extra Labels=false, T x tau=16x4, GFLOPs=1192, Param=633, Image size=224x2242022.0336.5——
VideoMAE ViT-Hextra data=K400, extra labels=false, GFLOPs=1192, Param=6332022.1236.5——
ST-MAE ViT-Hextra data=K400, extra labels=true, GFLOPs=1193, Param=6322022.1236.2——
ST-MAE-HFLOPS=1193G, Param=632M2024.0336.2——
VideoMAEBackbone=ViT-L, Pre-train Dataset=Kinetics-700, Extra Labels=false, T x tau=16x4, GFLOPs=597, Param=305, Image size=224x2242022.0336.1——
ST-MAE ViT-Lextra data=K400, extra labels=true, GFLOPs=598, Param=3042022.1235.7——
MViTv2-Lextra data=IN-21K+K700, extra labels=true, GFLOPs=2828, Param=2132022.1234.4——
MViTv2-LFLOPS=2828G, Param=213M2024.0334.4——
VideoMAEBackbone=ViT-L, Pre-train Dataset=Kinetics-400, Extra Labels=false, T x tau=16x4, GFLOPs=597, Param=305, Image size=224x2242022.0334.3——
VideoMAE ViT-Lextra data=K400, extra labels=false, GFLOPs=597, Param=3052022.1234.3——
MVD-B (Teacher-L)extra data=IN-1K+K400, extra labels=true, GFLOPs=180, Param=872022.1234.2——
TubeRbackbone=CSN-152, pre-train=IG + K400, inference=2 views2021.0433.6——
MVD-B (Teacher-B)extra data=IN-1K+K400, extra labels=true, GFLOPs=180, Param=872022.1233.6——
TubeRbackbone=CSN-152, pre-train=IG + K400, inference=1 view2021.0433.4——
ACAR-Netbackbone=ResNet-101, pre-train=Kinetics-700, T x τ=8 x 82020.0633.3——
ACAR-Netbackbone=SF-101, pre-train=K700+ K400, inference=6 views2021.0433.3——
HITFLOPS=622G, Param=198M2024.0332.6——
AIA(SF-101 8x8)Pre-train=K700, Backbone=SlowFast-101 8x8, extra_information=optical flow, audio, and/or detection2021.0432.3——
AIAbackbone=ResNet-101 + Non-Local, pre-train=Kinetics-700, T x τ=8 x 82020.0632.3——
AIA (obj)backbone=SF-101, pre-train=K700+ K400, inference=18 views2021.0432.2——
VideoMAEBackbone=ViT-B, Pre-train Dataset=Kinetics-400, Extra Labels=true, T x tau=16x4, GFLOPs=180, Param=87, Image size=224x2242022.0331.8——
VideoMAE ViT-Bextra data=K400, extra labels=true, GFLOPs=180, Param=872022.1231.8——
CM (SF-101 8x8)Pre-train=K700, Backbone=SlowFast-101 8x82021.0431.6——
ACAR-Netbackbone=ResNet-101 + Non-Local, pre-train=Kinetics-600, T x τ=8 x 82020.0631.4——
MVD-B (Teacher-L)extra data=IN-1K+K400, extra labels=false, GFLOPs=180, Param=872022.1231.1——
SlowFast++Backbone=R101+NL, TxTau=16x8, video pretrain=Kinetics-600, Augmentation=multi-scale and horizontal flipping2018.1230.7——
SlowFasttemporal resolution=16x8, video pretrain=Kinetics-600, Backbone=R-101+NL, flow=false, augmentation=multi-scale and horizontal flipping, region proposals=used for training2018.1230.7——
SlowFastBackbone=R101+NL, TxTau=16x8, video pretrain=Kinetics-6002018.1229.8——
SlowFasttemporal resolution=16x8, video pretrain=Kinetics-600, Backbone=R-101+NL, flow=false, region proposals=used for training2018.1229.8——
AIA(SF-50 4x16)Pre-train=K700, Backbone=SlowFast-50 4x162021.0429.8——
CM (SF-50 4x16)Pre-train=K700, Backbone=SlowFast-50 4x162021.0429.8——
SlowFast-101backbone=SF-101, pre-train=K600+ K400, inference=6 views2021.0429.8——
MVD-B (Teacher-B)extra data=IN-1K+K400, extra labels=false, GFLOPs=180, Param=872022.1229.3——
TubeRbackbone=CSN-50, pre-train=IG + K400, inference=1 view2021.0429.2——
SlowFastBackbone=R101+NL, TxTau=8x8, video pretrain=Kinetics-6002018.1229——
SlowFasttemporal resolution=8x8, video pretrain=Kinetics-600, Backbone=R-101+NL, flow=false, region proposals=used for training2018.1229——
SF-101+NL 8x8Pre-train=K600, Backbone=SlowFast-101 + Non-Local2021.0429——
SF-101 8x8Pre-train=K700, reproduced=true2021.0429——
SlowFastbackbone=ResNet-101 + Non-Local, pre-train=Kinetics-600, T x τ=8 x 82020.0629——
MViTv2-Bextra data=K400, extra labels=true, GFLOPs=225, Param=512022.1229——
MViT-B-24, 32×3pretrain=K600, FLOPs=236, Param=52.92021.0428.7——
M-ViT-B-24backbone=MViT-B-24, pre-train=K600+ K400, inference=1 view2021.0428.7——
AVSF-101 8x8Pre-train=K400, extra_information=optical flow, audio, and/or detection2021.0428.6——
VideoMAEBackbone=ViT-S, Pre-train Dataset=Kinetics-400, Extra Labels=true, T x tau=16x4, GFLOPs=57, Param=22, Image size=224x2242022.0328.4——
WOObackbone=SF-101, pre-train=K600+ K400, inference=1 view2021.0428.3——
CSN-152backbone=CSN-152, pre-train=IG + K400, inference=1 view2021.0427.9——
SlowFast, 16×8 R101+NLpretrain=K600, FLOPs=296, Param=59.22021.0427.5——
MViT-B, 32×3pretrain=K600, FLOPs=170, Param=36.42021.0427.5——
X3D-XLpretrain=K600, FLOPs=48.4, Param=11.02021.0427.4——
X3D-XLbackbone=X3D-XL, pre-train=K600+ K400, inference=1 view2021.0427.4——
MViT-B, 64×3pretrain=K400, FLOPs=455, Param=36.42021.0427.3——
SlowFast, 8×8 R101+NLpretrain=K600, FLOPs=147, Param=59.22021.0427.1——
SF-50 4x16Pre-train=K700, reproduced=true2021.0426.9——
MViT-B, 32×3pretrain=K400, FLOPs=170, Param=36.42021.0426.8——
VideoMAEBackbone=ViT-B, Pre-train Dataset=Kinetics-400, Extra Labels=false, T x tau=16x4, GFLOPs=180, Param=87, Image size=224x2242022.0326.7——
VideoMAE ViT-Bextra data=K400, extra labels=false, GFLOPs=180, Param=872022.1226.7——
MViT-B, 16×4pretrain=K600, FLOPs=70.5, Param=36.32021.0426.1——
MViT-B, 16×4pretrain=K400, FLOPs=70.5, Param=36.42021.0424.5——
SlowFast, 8×8, R101pretrain=K400, FLOPs=138, Param=53.02021.0423.8——
supervisedBackbone=SlowFast-R101, Pre-train Dataset=Kinetics-400, Extra Labels=true, T x tau=8x8, GFLOPs=138, Param=53, Image size=224x2242022.0323.8——
SlowFast R101extra data=K400, extra labels=true, GFLOPs=138, Param=532022.1223.8——
SlowFast R101FLOPS=138G, Param=53M2024.0323.8——
pBYOLpre-train=K400-240K, evaluation protocol=finetuning accuracy, epochs=200, rho=32021.0423.4——
ρBYOLρ=3Backbone=SlowOnly-R50, Pre-train Dataset=Kinetics-400, Extra Labels=false, T x tau=8x8, GFLOPs=42, Param=32, Image size=224x2242022.0323.4——
VideoMAEBackbone=ViT-S, Pre-train Dataset=Kinetics-400, Extra Labels=false, T x tau=16x4, GFLOPs=57, Param=22, Image size=224x2242022.0322.5——
supervisedpre-train=K400-240K, evaluation protocol=finetuning accuracy, epochs=200, rho=32021.0422.2——
SlowFast, 4×16, R50pretrain=K400, FLOPs=52.6, Param=33.72021.0421.9——
pMoCopre-train=IG-Uncurated-1M, evaluation protocol=finetuning accuracy, epochs=200, rho=32021.0420.5——
pMoCopre-train=IG-Curated-1M, evaluation protocol=finetuning accuracy, epochs=200, rho=32021.0420.4——
pMoCopre-train=K400-240K, evaluation protocol=finetuning accuracy, epochs=200, rho=32021.0420.3——
ρMoCoρ=3Backbone=SlowOnly-R50, Pre-train Dataset=Kinetics-400, Extra Labels=false, T x tau=8x8, GFLOPs=42, Param=32, Image size=224x2242022.0320.3——
pSwAVpre-train=K400-240K, evaluation protocol=finetuning accuracy, epochs=200, rho=32021.0418.2——
pSimCLRpre-train=K400-240K, evaluation protocol=finetuning accuracy, epochs=200, rho=32021.0417.6——
CVRLBackbone=SlowOnly-R50, Pre-train Dataset=Kinetics-400, Extra Labels=false, T x tau=32x2, GFLOPs=42, Param=32, Image size=224x2242022.0316.3——
supervisedpre-train=scratch, evaluation protocol=finetuning accuracy, epochs=200, rho=32021.0411.7——
ACARpre-train=supervised, pre-train data=K600, architecture=ACAR, input size=64 x 224^22022.05——31.4