方法

Backbone

预训练

数据集

UCF-101

(%)

HDMB-51

(%)

3D RotNet [1]

3D ResNet-18

Kinetics-400

76.6

47.0

3D ST-puzzle [7]

3D ResNet-18

Kinetics-400

65.8

33.7

LSFD [18]

C3D

Kinetics-400

79.8

52.1

SpeedNet [5]

S3D-G

Kinetics-400

81.1

48.8

TBE [19]

I3D

Kinetics-400

87.1

56.2

CoCLR [20]

S3D

Kinetics-400

87.9

54.6

Video Jigsaw [2]

CaffeNet

Kinetics-400

55.4

27.0

ERUV [21]

R(2 + 1)D-18

Thumos14

68.4

31.9

PRP [4]

R(2 + 1)D-18

UCF-101

72.1

35.0

COP [3]

R(2 + 1)D-18

GTEA

72.4

30.9

PacePred [11]

R(2 + 1)D-18

Kinetics-400

77.1

36.6

TCGL [22]

R(2 + 1)D-18

Kinetics-400

81.2

50.1

TaCo [12]

R(2 + 1)D-18

Kinetics-400

81.8

46.0

CPNet [6]

R(2 + 1)D-18

Kinetics-400

83.8

57.1

Elo [15]

R(2 + 1)D-26

Youtube

84.2

53.7

TCLR [10]

R(2 + 1)D-18

UCF-101

84.3

54.2

CMD [9]

R(2 + 1)D-26

Kinetics-400

85.7

54.0

STOR [23]

R(2 + 1)D-18

Kinetics-400

87.6

56.4

Ours

R(2 + 1)D-18

Kinetics-400

88.4

57.6