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Action Detection on AVA v2.2

43.3mAPHiera-H
15.2222.5129.837.09May 18, 2022Aug 15, 2022Nov 13, 2022Feb 10, 2023May 11, 2023Aug 8, 2023Nov 6, 2023

Evaluation results

MethodLinks
Hiera-Hbackbone=Hiera-H, pretrain=MAE, pre-training dataset=Kinetics-7002023.0643.3——1,158—
Hiera-Hbackbone=Hiera-H, pretrain=MAE, pre-training dataset=Kinetics-6002023.0642.8——1,158—
Hiera-Hbackbone=Hiera-H, pretrain=MAE, pre-training dataset=Kinetics-4002023.0642.5——1,158—
Hiera-Lbackbone=Hiera-L, pretrain=MAE, pre-training dataset=Kinetics-7002023.0641.7——413—
Hiera-Lbackbone=Hiera-L, pretrain=MAE, pre-training dataset=Kinetics-6002023.0640.7——413—
ViT-Hbackbone=ViT-H, pretrain=MAE, pre-training dataset=Kinetics-6002023.0640.3——1,193—
ViT-Hbackbone=ViT-H, pretrain=MAE, pre-training dataset=Kinetics-7002023.0640.1——1,193—
Hiera-Lbackbone=Hiera-L, pretrain=MAE, pre-training dataset=Kinetics-4002023.0639.8——413—
MViTv2-L40,312backbone=MViTv2-L40,312, pretrain=MaskFeat, pre-training dataset=Kinetics-6002023.0639.8——2,828—
ViT-Hbackbone=ViT-H, pretrain=MAE, pre-training dataset=Kinetics-4002023.0639.5——1,192—
ViT-Lbackbone=ViT-L, pretrain=MAE, pre-training dataset=Kinetics-7002023.0639.5——598—
MViTv2-L40,312backbone=MViTv2-L40,312, pretrain=MaskFeat, pre-training dataset=Kinetics-4002023.0638.5——2,828—
ViT-Lbackbone=ViT-L, pretrain=MAE, pre-training dataset=Kinetics-6002023.0638.4——598—
ViT-Lbackbone=ViT-L, pretrain=MAE, pre-training dataset=Kinetics-4002023.0637——597—
MAEpre-train set=IG-uncurated, # pre-train data=1M, Backbone=ViT-L, pre-training epochs=16002022.0534.2————
AMDBackbone=ViT-B, Extra labels=true, T x tau=16x42023.1133.5————
MAEpre-train set=K700, # pre-train data=537k, Backbone=ViT-L, pre-training epochs=16002022.0533.1————
MAEpre-train set=K600, # pre-train data=387k, Backbone=ViT-L, pre-training epochs=16002022.0532.5————
VideoMAEBackbone=ViT-B, Extra labels=true, T x tau=16x42023.1131.8————
VideoMAE-BPretrain=K400, Frames=162023.1031.8————
TTMBackbone=ViViT-B, Sequential modeling type=per box, Number of layers=4, Pre-training=Kinetics-4002022.1131.5——2—
TTMBackbone=ViViT-B, Sequential modeling type=per box, Number of layers=1, Pre-training=Kinetics-4002022.1131.3——1—
MAEpre-train set=K400, # pre-train data=240k, Backbone=ViT-L, pre-training epochs=16002022.0531.1————
AMDBackbone=ViT-B, Extra labels=false, T x tau=16x42023.1129.9————
MeMViTBackbone=MViT, Sequential modeling type=memory, Pre-training=Kinetics-4002022.1128.5——1.3—
MViTv2-BPretrain=K400, Frames=322023.1028.1————
TTMBackbone=ViViT-B, Sequential modeling type=per video, Pre-training=Kinetics-4002022.1127.9——0.8—
VideoMAEBackbone=ViT-B, Extra labels=false, T x tau=16x42023.1126.7————
VideoMAE-BPretrain=K400 wo/labels, Frames=162023.1026.7————
ZeroI2V ViT-B/16Pretrain=CLIP, Frames=82023.1026.4————
MAEpre-train set=ImageNet-1K, # pre-train data=1.28M, Backbone=ViT-L2022.0526.3————
MViTPre-training=Kinetics-4002022.1126.2————
ViViT-BPre-training=Kinetics-4002022.1125.2————
supervisedBackbone=SlowFast-R101, Extra labels=true, T x tau=8x82023.1123.8————
SlowFast-R101Pretrain=K400, Frames=82023.1023.8————
ρBYOL p=3Backbone=SlowOnly-R50, Extra labels=false, T x tau=8x82023.1123.4————
ViT-Lbackbone=ViT-L, pretrain=supervised, pre-training dataset=Kinetics-4002023.0622.2——598—
Supervisedpre-train set=K400, # pre-train data=240k, Backbone=ViT-L2022.0521.6————
ρMoCo p=3Backbone=SlowOnly-R50, Extra labels=false, T x tau=8x82023.1120.3————
CLIP ViT-B/16Pretrain=CLIP, Frames=82023.1018.3————
Supervisedpre-train set=ImageNet-1K, # pre-train data=1.28M, Backbone=ViT-L2022.0517.3————
CVRLBackbone=SlowOnly-R50, Extra labels=false, T x tau=32x22023.1116.3————
ACAR R101, 8×8+NLpre-train=K6002021.12—31.4———
ACAR R101, 8×8+NLpre-train=K7002021.12—33.3———
MViT-L↑312, 40×3 (MaskFeat)pre-train=MaskFeat, K400, FLOPs=2828, Param=2182021.12—37.338.5——
MViT-L↑312, 40×3 (MaskFeat)pre-train=MaskFeat, K600, FLOPs=2828, Param=2182021.12—38.839.8——
MViT-L↑312, 40×3 (Supervised)pre-train=IN-21K+K400, FLOPs=2828, Param=2182021.12—31.6———
MViTv1-B-24, 32×3pre-train=K600, FLOPs=236, Param=532021.12—28.7———
MViTv1-B, 64×3pre-train=K400, FLOPs=455, Param=362021.12—27.3———
Object Transformerpre-train=K600, FLOPs=244, Param=862021.12—31———
SlowFast 16×8+NLpre-train=K600, FLOPs=296, Param=592021.12—27.5———
SlowFast R101, 8×8pre-train=K400, FLOPs=138, Param=532021.12—23.8———
X3D-XLpre-train=K600, FLOPs=48, Param=112021.12—27.4———