Sequential Image Classification

37 papers with code • 3 benchmarks • 3 datasets

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

( Image credit: TensorFlow-101 )

Libraries

Use these libraries to find Sequential Image Classification models and implementations
3 papers
55

Latest papers with no code

Learning Long Sequences in Spiking Neural Networks

no code yet • 14 Dec 2023

Spiking neural networks (SNNs) take inspiration from the brain to enable energy-efficient computations.

Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate

no code yet • 23 Oct 2023

Recurrent Neural Networks (RNNs) are renowned for their adeptness in modeling temporal dependencies, a trait that has driven their widespread adoption for sequential data processing.

VCI-LSTM: Vector Choquet Integral-based Long Short-Term Memory

no code yet • IEEE 2022

Choquet integral is a widely used aggregation oper- ator on one-dimensional and interval-valued information, since it is able to take into account the possible interaction among data.

Image Classification using Sequence of Pixels

no code yet • 23 Sep 2022

This study compares sequential image classification methods based on recurrent neural networks.

Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers

no code yet • NeurIPS 2021

Recurrent neural networks (RNNs), temporal convolutions, and neural differential equations (NDEs) are popular families of deep learning models for time-series data, each with unique strengths and tradeoffs in modeling power and computational efficiency.

Cortical microcircuits as gated-recurrent neural networks

no code yet • NeurIPS 2017

Cortical circuits exhibit intricate recurrent architectures that are remarkably similar across different brain areas.