A PyTorch Implementation of "Recurrent Models of Visual Attention"
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Feb 24, 2023 - Python
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recurrent-attention-model
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A TensorFlow implementation of the recurrent models of visual attention
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Sep 30, 2018 - Python
The official implementation of "Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention" (BMVC 2021).
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Nov 4, 2021 - Python
Implementation of the location-guided deep recurrent attention model (LG-DRAM) I developed for my MSc thesis at UCL
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Oct 18, 2017 - Python
Recurrent Attention Model for MNIST classification
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Aug 2, 2019 - Python
Recurrent Neural Networks (RNNs) are a type of neural network that process sequential data, such as speech, text, or time-series data. RNNs use feedback connections to maintain a state that can capture information from previous inputs, allowing them to make predictions based on a sequence of inputs.
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Feb 13, 2023 - Kotlin
Implementation of the location-guided deep recurrent attention model (LG-DRAM) I developed for my MSc thesis at UCL (2017)
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Oct 22, 2024 - Python
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