mlsanityData to 14 Oct 2026

Advancements in Image Classification using Convolutional Neural Network

arXiv 1905.03288 ↗First posted 8 May 2019cs.CV cs.AIcited by 20

Not on the map. Why?

Abstract (arXiv)

Convolutional Neural Network (CNN) is the state-of-the-art for image classification task. Here we have briefly discussed different components of CNN. In this paper, We have explained different CNN architectures for image classification. Through this paper, we have shown advancements in CNN from LeNet-5 to latest SENet model. We have discussed the model description and training details of each model. We have also drawn a comparison among those models.

Key facts. Cited by 20 papers in the map (data through 14 Oct 2026). First posted on arXiv 8 May 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 5; 2022: 7; 2023: 4; 2024: 1; 2025: 2; 2026: 1.

20 papers.

Sort:

By area:

  1. 2022Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Modelscited by 11
  2. 2022Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimizationcited by 9
  3. 2021When Differential Privacy Meets Interpretability: A Case Studycited by 8
  4. 2022VisCUIT: Visual Auditor for Bias in CNN Image Classifiercited by 8
  5. 2022Vision-based Human Fall Detection Systems using Deep Learning: A Reviewcited by 7
  6. 2022Permutation-Invariant Tabular Data Synthesiscited by 6
  7. 2022A scalable deep learning approach for solving high-dimensional dynamic optimal transportcited by 5
  8. 2021A Contactless Fingerprint Recognition Systemcited by 3
  9. 2023From Online Behaviours to Images: A Novel Approach to Social Bot Detectioncited by 2
  10. 2023eXplainable Artificial Intelligence (XAI) in aging clock modelscited by 2
  11. 2023Robust Brain MRI Image Classification with SIBOW-SVMcited by 2
  12. 2021Convolution Neural Network Hyperparameter Optimization Using Simplified Swarm Optimizationcited by 1
8 more
  1. 2021Functional Protein Structure Annotation Using a Deep Convolutional Generative Adversarial Networkcited by 1
  2. 2022When does deep learning fail and how to tackle it? A critical analysis on polymer sequence-property surrogate modelscited by 1
  3. 2021Handwritten Digit Recognition using Machine and Deep Learning Algorithmscited by 0
  4. 2023Semantic Segmentation of Radar Detections using Convolutions on Point Cloudscited by 0
  5. 2024P-MSDiff: Parallel Multi-Scale Diffusion for Remote Sensing Image Segmentationcited by 0
  6. 2025A Transformer-in-Transformer Network Utilizing Knowledge Distillation for Image Recognitioncited by 0
  7. 2025Evaluating Deep Learning Models for African Wildlife Image Classification: From DenseNet to Vision Transformerscited by 0
  8. 2026ORViT-DR: Ordinally-Robust Hybrid ViT for Low-Resolution Diabetic Retinopathy Gradingcited by 0