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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 1–10 of 44 papers

TitleStatusHype
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel SizesCode1
Learning Long-Term Dependencies in Irregularly-Sampled Time SeriesCode1
Efficiently Modeling Long Sequences with Structured State SpacesCode1
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence ModelingCode1
Efficient recurrent architectures through activity sparsity and sparse back-propagation through timeCode1
HiPPO: Recurrent Memory with Optimal Polynomial ProjectionsCode1
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependenciesCode1
CKConv: Continuous Kernel Convolution For Sequential DataCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over ModulesCode1
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