MLDL_Group_Project

This group project work is a Recurrent Neural Network with the joint implementation of two different Self-Supervised Tasks. The purpose of this RNN is to tackle the video recognition task, in terms of first person egocentric action recognition. The project is described with great details in the report.

Name		Name	Last commit message	Last commit date
Latest commit History 31 Commits
Alfarano_Apicella_Cuni_report.pdf		Alfarano_Apicella_Cuni_report.pdf
CamVisualizationWithMS.ipynb		CamVisualizationWithMS.ipynb
MyConvLSTMCell.py		MyConvLSTMCell.py
README.md		README.md
Variation_MS+Ord.ipynb		Variation_MS+Ord.ipynb
attentionMapModel.py		attentionMapModel.py
eval-run-flow.py		eval-run-flow.py
eval-run-rgb.py		eval-run-rgb.py
eval-run-twoStream-joint.py		eval-run-twoStream-joint.py
eval-run-twoStream.py		eval-run-twoStream.py
flow_resnet.py		flow_resnet.py
main-run-flow.py		main-run-flow.py
main-run-rgb.py		main-run-rgb.py
main-run-twoStream.py		main-run-twoStream.py
makeDatasetFlow.py		makeDatasetFlow.py
makeDatasetMMAPS_Variation.py		makeDatasetMMAPS_Variation.py
makeDatasetMMAPS_WR.py		makeDatasetMMAPS_WR.py
makeDatasetRGB.py		makeDatasetRGB.py
objectAttentionModelConvLSTM.py		objectAttentionModelConvLSTM.py
objectAttentionModelConvLSTM_MS_WR.py		objectAttentionModelConvLSTM_MS_WR.py
objectAttentionModelConvLSTM_Variation.py		objectAttentionModelConvLSTM_Variation.py
objectAttentionModelConvLSTM_noAtt.py		objectAttentionModelConvLSTM_noAtt.py
resnetMod.py		resnetMod.py
spatial_transforms.py		spatial_transforms.py

GabrieleCuni/MLDL_Group_Project

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