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HOG(Histogram of Grident)
HOF(Histogram of Feature)
BoF(Bag of Feature)
Dense Point Trajectory
Motion Boundary History(MBH)
Trajectory Fisher Vector
ConvNet Feature
Stacked OpticalFlow
Action Recognition by Dense Trajectories. [Paper ] [Code ]
Dense trajectories and motion boundary descriptors for action recognition. [Paper ] [Python Code ]
Large-scale Video Classification with Convolutional Neural Network. [Project ]
Learning SpatialTemporal Feautres with 3D Convolutional Networks. [Paper ]
3D Convolutional Neural Networks for Human Action Recognition. [Paper ]
Two-Stream Convolutional Networks for Action Recognition in Videos. [Paper ][Code ]
Two-Stream SR-CNNs for Action Recognition in Videos. [Paper ][Code ]
Trajectory-Pooled Deep Convolutional Descriptor. [Paper ]
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition. [Paper ]
Learnable pooling with Context Gating for video classification.
Finding Action Tubes. [Paper ] [Code ]
Multi-region Two-Stream R-CNN for Action Detection.
Temporal Action Detection with Structured Segment Networks.
UntrimmedNets for Weakly Supervised Action Recognition and Detection
R-CNNs for Pose Estimation and Action Detection.
Multi-Stream Multi-Class Fusion of Deep Networks for Video Classification. [Paper ]
Real-time Action Recognition with Enhanced Motion Vector CNNs.[Project ]
Convolutional Two-Stream Network Fusion for Video Action Recognition. [Paper ][Code ]
ActionVLAD: Learning spatio-temporal aggregation for action classification. [Project ]
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Methods for video classification
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