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Benchmarks
Violence Detection on Movies Fight
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100
Accuracy
FightNet
46.96
60.73
74.5
88.27
Nov 14, 2019
Mar 28, 2020
Aug 11, 2020
Dec 24, 2020
May 9, 2021
Sep 21, 2021
Feb 4, 2022
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
FightNet
Type=Deep-Learning Based
2019.11
100
ConvLSTM
Type=Deep-Learning Based
2019.11
100
C3D
Type=Deep-Learning Based
2019.11
100
I3D(RGB only)
Type=Deep-Learning Based
2019.11
100
I3D(Flow only)
Type=Deep-Learning Based
2019.11
100
I3D(Fusion)
Type=Deep-Learning Based
2019.11
100
Flow Gated Network
Type=Deep-Learning Based
2019.11
100
ConvLSTM
2022.02
100
I3D
Input modality=RGB
2022.02
100
I3D
Input modality=Optical...
2022.02
100
I3D
Input modality=Two-stream
2022.02
100
Cheng et al. Model
Architecture=P3D
2022.02
100
3D ConvNet
Type=Deep-Learning Based
2019.11
99.97
SSHA
Input modality=RGB, Lo...
2022.02
99
SSHA
Input modality=RGB
2022.02
99
SSHA
Input modality=Two-stream
2022.02
99
SSHA
Input modality=Optical...
2022.02
98.5
MOSIFT+HIK
Type=Hand-Crafted Feat...
2019.11
89.5
HOF+HIK
Type=Hand-Crafted Feat...
2019.11
59
HOG+HIK
Type=Hand-Crafted Feat...
2019.11
49
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