LR-Net

Reported on 3 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision3 results

Image ClassificationonFashion-MNIST
Accuracy· 2022-07-19
95.03
best: 99.06 (pFedBreD_ns_mg)
SOTA
LR-Net: A Block-based Convolutional Neural Network for Low-Resolution Image Classification arXiv:2207.09531
Image ClassificationonOracle-MNIST
Accuracy· 2022-07-19
95.13
best: 97.2 (ResNet-18 + Vision Eagle Attention)
SOTA
LR-Net: A Block-based Convolutional Neural Network for Low-Resolution Image Classification arXiv:2207.09531
Image ClassificationonMNIST
Accuracy· 2022-07-19
99.47
best: 99.87 (Branching/Merging CNN + Homogeneous Vector Capsules)
LR-Net: A Block-based Convolutional Neural Network for Low-Resolution Image Classification arXiv:2207.09531