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Action Recognition on ActivityNet (test)

94.3mAPNSNet
66.63673.8188188.182Dec 10, 2019May 17, 2020Oct 23, 2020Mar 31, 2021Sep 6, 2021Feb 12, 2022Jul 21, 2022

Evaluation results

MethodLinks
NSNetRecognizer=Swin-L, Pretrain=Kinetics2022.0794.390.2—
TSQNetBackbone=Swin-L, Pretrain=Kinetics2022.0793.788.7—
NSNetRecognizer=Swin-B, Pretrain=Kinetics2022.0791.686.7—
TSQNetBackbone=Swin-B, Pretrain=Kinetics2022.0791.284.7—
MARLRecognizer=SEResNeXt-152, Pretrain=Kinetics2022.0790.185.7—
MARLBackbone=SEResNeXt152, Pretrain=Kinetics2022.0790.1——
Listen ToLookRecognizer=R(2+1)D-152, Pretrain=Kinetics2022.0789.9——
ListenToLookBackbone=R(2+1)D-152, Pretrain=Kinetics2022.0789.9——
NSNetRecognizer=ResNet-152, Pretrain=Kinetics2022.0788.784.5—
DSNRecognizer=R(2+1)D-34, Pretrain=Kinetics2022.0787.882.6—
TSQNetBackbone=ResNet-152, Pretrain=ImageNet2022.0785.280—
NSNetRecognizer=ResNet-152, Pretrain=ImageNet2022.0785.180.7—
Ada3DRecognizer=SlowOnly-50, Pretrain=Kinetics2022.0784.684—
UpperInput frames=16, GFLOPs=117.3, #3D=5.0, #Frame=16.02020.1284.4——
SMARTRecognizer=ResNet-152, Pretrain=Kinetics2022.0784.4——
IMGAUD-SKIMMINGBackbone=ResNet-152, Pre-trained=ImageNet2019.1284.280.3—
Listen ToLookRecognizer=ResNet-152, Pretrain=ImageNet2022.0784.280.3—
Ada3DInput frames=16, GFLOPs=70.1, #3D=3.0, #Frame=11.12020.1284——
MARLBackbone=ResNet-152, Pre-trained=ImageNet2019.1283.879.8—
MARLRecognizer=ResNet-152, Pretrain=ImageNet2022.0783.879.8—
MARLBackbone=ResNet-152, Pretrain=ImageNet2022.0783.879.8—
RRABackbone=ResNet-152, Pre-trained=ImageNet2019.1283.478.8—
RRARecognizer=ResNet-152, Pretrain=ImageNet2022.0783.478.8—
RRABackbone=ResNet-152, Pretrain=ImageNet2022.0783.478.8—
Random FTInput frames=16, GFLOPs=71.3, #3D=3.0, #Frame=11.12020.1282.8——
UpperInput frames=8, GFLOPs=58.6, #3D=5.0, #Frame=8.02020.1282.6——
Ada3DInput frames=8, GFLOPs=42.2, #3D=3.1, #Frame=6.62020.1282.6——
Random FTInput frames=8, GFLOPs=42.9, #3D=3.0, #Frame=6.62020.1281.1——
RandomInput frames=16, GFLOPs=73.3, #3D=3.0, #Frame=11.22020.1280.4——
RandomInput frames=8, GFLOPs=42.9, #3D=3.0, #Frame=6.62020.1279.2——
P3DBackbone=ResNet-152, Pre-trained=ImageNet2019.1278.975.1—
P3DRecognizer=ResNet-152, Pretrain=ImageNet2022.0778.975.1—
P3DBackbone=ResNet-152, Pretrain=ImageNet2022.0778.975.1—
TSQNetFLOPs (G)=26.1, Throughput(bs=1) (videos/s)=17.7, Throughput(bs=32) (videos/s)=121.12022.0776.5——
FrameExitFLOPs (G)=26.1, Throughput(bs=1) (videos/s)=9.82022.0776.1——
AdaFocusFLOPs (G)=26.6, Throughput(bs=1) (videos/s)=5.5, Throughput(bs=32) (videos/s)=73.82022.0775——
IDTPre-trained=ImageNet2019.1268.764.7—
C3DPre-trained=Sports1M2019.1267.765.8—
BIKE ViT-LShot=12022.12——86.6
BIKE ViT-LShot=22022.12——88.7
BIKE ViT-LShot=52022.12——90.9
C3D2017.05—74.1—
Depth2Action2017.05—78.1—
iDT+FV2017.05—66.5—
TSNNumber of segments=32017.05—89—
TSNNumber of segments=72017.05—89.6—
Two Stream2017.05—71.9—