This is a basic implementation of DenseNet combined with LSTM, used for sequence modeling. Here, DenseNet is a CNN feature extractor that feeds the extracted features to LSTM network in sequence. The network predicts 4 corner landmarks of each image in sequence. Overall, its a regression network for image with CNN feature extractor and basic LSTM layer.
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This is an implementation of DenseNet Architecture combined with LSTM for sequence modeling.
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Bidur-Khanal/DenseNet-LSTM
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This is an implementation of DenseNet Architecture combined with LSTM for sequence modeling.
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