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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
Efficient recurrent architectures through activity sparsity and sparse back-propagation through timeCode1
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
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel SizesCode1
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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