Sequential Image Classification
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Benchmarks
Most implemented
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Resurrecting Recurrent Neural Networks for Long Sequences
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN
Efficiently Modeling Long Sequences with Structured State Spaces
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
Recurrent Highway Networks with Grouped Auxiliary Memory
Papers
Minion Gated Recurrent Unit for Continual Learning
The increasing demand for continual learning in sequential data processing has led to progressively complex training methodologies and larger recurrent network architectures. Consequently, this has widened the knowledge …
Continual Learningimage-classificationImage ClassificationSequential Image ClassificationLearning Long Sequences in Spiking Neural Networks
Spiking neural networks (SNNs) take inspiration from the brain to enable energy-efficient computations. Since the advent of Transformers, SNNs have struggled to compete with artificial networks on modern sequential tasks…
image-classificationImage ClassificationSequential Image ClassificationState Space ModelsDelayed Memory Unit: Modelling Temporal Dependency Through Delay Gate
Recurrent Neural Networks (RNNs) are widely recognized for their proficiency in modeling temporal dependencies, making them highly prevalent in sequential data processing applications. Nevertheless, vanilla RNNs are conf…
Computational EfficiencyGesture Recognitionimage-classificationImage Classification+3Traveling Waves Encode the Recent Past and Enhance Sequence Learning
Traveling waves of neural activity have been observed throughout the brain at a diversity of regions and scales; however, their precise computational role is still debated. One physically inspired hypothesis suggests tha…
image-classificationImage ClassificationSequential Image ClassificationSequence Modeling with Multiresolution Convolutional Memory
Efficiently capturing the long-range patterns in sequential data sources salient to a given task -- such as classification and generative modeling -- poses a fundamental challenge. Popular approaches in the space tradeof…
Density EstimationListOpsSequential Image ClassificationSMPConv: Self-moving Point Representations for Continuous Convolution
Continuous convolution has recently gained prominence due to its ability to handle irregularly sampled data and model long-term dependency. Also, the promising experimental results of using large convolutional kernels ha…
DescriptiveImage ClassificationSequential Image ClassificationTime Series Analysis