mlsanityData to 14 Oct 2026

ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks

arXiv 1505.00393 ↗First posted 3 May 2015cs.CVcited by 24

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Abstract (arXiv)

In this paper, we propose a deep neural network architecture for object recognition based on recurrent neural networks. The proposed network, called ReNet, replaces the ubiquitous convolution+pooling layer of the deep convolutional neural network with four recurrent neural networks that sweep horizontally and vertically in both directions across the image. We evaluate the proposed ReNet on three widely-used benchmark datasets; MNIST, CIFAR-10 and SVHN. The result suggests that ReNet is a viable alternative to the deep convolutional neural network, and that further investigation is needed.

Key facts. Cited by 24 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 May 2015.

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Citing papers per year: 2021: 8; 2022: 7; 2023: 5; 2024: 0; 2025: 3; 2026: 1.

24 papers.

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  1. 2022Visual Attention Methods in Deep Learning: An In-Depth Surveycited by 37
  2. 2021TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Datacited by 36
  3. 2021Position, Padding and Predictions: A Deeper Look at Position Information in CNNscited by 26
  4. 2022Sequencer: Deep LSTM for Image Classificationcited by 23
  5. 2021A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layoutcited by 15
  6. 2021Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detectioncited by 5
  7. 2021Spatial Dependency Networks: Neural Layers for Improved Generative Image Modelingcited by 5
  8. 2021An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classificationcited by 3
  9. 2022EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphscited by 2
  10. 2022Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regressioncited by 2
  11. 2021ContinuityLearner: Geometric Continuity Feature Learning for Lane Segmentationcited by 1
  12. 2021On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Modelscited by 1
12 more
  1. 2022Learning from Data with Noisy Labels Using Temporal Self-Ensemblecited by 1
  2. 2023Adversarial Attacks Assessment of Salient Object Detection via Symbolic Learningcited by 1
  3. 2025A Racing Dataset and Baseline Model for Track Detection in Autonomous Racingcited by 1
  4. 2025Heterogeneity-Oblivious Robust Federated Learningcited by 1
  5. 2022R-MelNet: Reduced Mel-Spectral Modeling for Neural TTScited by 0
  6. 2022Comparative Analysis of State-of-the-Art Deep Learning Models for Detecting COVID-19 Lung Infection from Chest X-Ray Imagescited by 0
  7. 2023DartsReNet: Exploring new RNN cells in ReNet architecturescited by 0
  8. 2023Anticipating Technical Expertise and Capability Evolution in Research Communities using Dynamic Graph Transformerscited by 0
  9. 2023Pruning Distorted Images in MNIST Handwritten Digitscited by 0
  10. 2023An Approach for Efficient Neural Architecture Search Space Definitioncited by 0
  11. 2025Tackling Tuberculosis: A Comparative Dive into Machine Learning for Tuberculosis Detectioncited by 0
  12. 2026Scale-Consistent State-Space Dynamics via Fractal of Stationary Transformationscited by 0