ML Research Wiki / Benchmarks / Image Classification / Fashion-MNIST

Fashion-MNIST

Image Classification Benchmark

Performance Over Time

📊 Showing 33 results | 📏 Metric: Percentage error

Top Performing Models

Rank Model Paper Percentage error Date Code
1 pFedBreD_ns_mg Personalized Federated Learning with Hidden Information on Personalized Prior 99.06 2022-11-19 -
2 LR-Net LR-Net: A Block-based Convolutional Neural Network for Low-Resolution Image Classification 95.03 2022-07-19 📦 AshkanGanj/Block-Based-ImageClassification-Architecture
3 Inception v3 CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters 94.44 2022-03-29 📦 paulgavrikov/cnn-filter-db
4 R-ExplaiNet-26 Learning local discrete features in explainable-by-design convolutional neural networks 93.45 2024-10-31 📦 pikaplan/LearnExplaiNet
5 ResNet-18 + Vision Eagle Attention Vision Eagle Attention: a new lens for advancing image classification 93.30 2024-11-15 📦 MahmudulHasan11085/Vision-Eagle-Attention
6 Tsetlin Machine Composites TMComposites: Plug-and-Play Collaboration Between Specialized Tsetlin Machines 93.00 2023-09-09 📦 cair/plug-and-play-collaboration-between-specialized-tsetlin-machines
7 StiDi-BP in R-CSNN Spike time displacement based error backpropagation in convolutional spiking neural networks 92.80 2021-08-31 -
8 Star Algorithm on LeNet Star algorithm for NN ensembling 92.30 2022-06-01 📦 mordiggian174/star-ensembling
9 ResNet-18 Vision Eagle Attention: a new lens for advancing image classification 92.28 2024-11-15 📦 MahmudulHasan11085/Vision-Eagle-Attention
10 CTM-8000 (Convolutional Tsetlin Machine) The Convolutional Tsetlin Machine 91.50 2019-05-23 📦 cair/TsetlinMachine 📦 cair/pyTsetlinMachine 📦 cair/convolutional-tsetlin-machine-tutorial

All Papers (33)

Parametric Matrix Models

2024
Convolutional PMM (Parametric Matrix Model)

Parametric Matrix Models

2024
PMM (Parametric Matrix Model)

Sparse Spiking Gradient Descent

2021
Sparse Spiking Gradient Descent (CNN)

Sparse Spiking Gradient Descent

2021
Sparse Spiking Gradient Descent (MLP)