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Sequential Image Classification

Sequential image classification is the task of classifying a sequence of images.

( Image credit: TensorFlow-101 )

Papers

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Showing 21–30 of 44 papers

TitleStatusHype
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependenciesCode1
HiPPO: Recurrent Memory with Optimal Polynomial ProjectionsCode1
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over ModulesCode1
Lipschitz Recurrent Neural NetworksCode1
Learning Long-Term Dependencies in Irregularly-Sampled Time SeriesCode1
Recurrent Highway Networks with Grouped Auxiliary MemoryCode0
Legendre Memory Units: Continuous-Time Representation in Recurrent Neural NetworksCode1
Gating Revisited: Deep Multi-layer RNNs That Can Be TrainedCode0
Improving the Gating Mechanism of Recurrent Neural NetworksCode0
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