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Implementation of the paper Adding Attentiveness to the Neurons in Recurrent Neural Network for action classification

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SMAI_S22_48

Team Name : Statistically Significant

Members

  • Ritvik Aryan Kalra Github: rvk7895 Roll number - 2019115002
  • Lalit Kumar Digalla

This repository consists of implementation of the paper Adding Attentiveness to the Neurons in Recurrent Neural Networks

Datasets Used

  • Joint-annotated Human Motion Data Base Link
  • UCF101 - Action Recognition Data Set Link

Links

Presentation - Canva

Models and Dataset - OneDrive

Remote Repository - Github

Files

att_gru_jhmdb.ipynb - consists of the Vanilla and with EleAtt gate implementation of GRU on the JHMDB dataset
att_gru_ucf101.ipynb - consists of the Vanilla and with EleAtt gate implementation of GRU on the UCF101 dataset
att_lstm_jhmdb.ipynb - consists of the Vanilla and with EleAtt gate implementation of LSTM on the JHMDB dataset
att_lstm_ucf101.ipynb - consists of the Vanilla and with EleAtt gate implementation of LSTM on the UCF101 dataset\

TODOs

  • Implementations of Standard GRU
  • Implementaiton of GRU with attention layer
  • Implementation of Standard LSTM
  • Implementation of LSTM with attention layer
  • Implementation of Vanilla RNN
  • Implementation of Vanilla RNN with attention layer

About

Implementation of the paper Adding Attentiveness to the Neurons in Recurrent Neural Network for action classification

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1 watching

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