Image Classification On Emnist Balanced

Metrics

Accuracy

Trainable Parameters

Results

Performance results of various models on this benchmark

Model Name	Accuracy	Trainable Parameters	Paper Title	Repository
CNN(Spinal FC)	83.21	16050	SpinalNet: Deep Neural Network with Gradual Input	-
EMNIST-Tiny	91.20	400000	Efficient Global Neural Architecture Search
OnDev-LCT-4/1	89.39	514960	OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning	-
Convolutional PMM (Parametric Matrix Model)	85.95	349172	Parametric Matrix Models	-
HM2-BP	85.57	665647	Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks	-
SNNL-5	78.5	-	Improving k-Means Clustering Performance with Disentangled Internal Representations	-
CNN	79.61	21840	SpinalNet: Deep Neural Network with Gradual Input	-
TextCaps	90.46	-	Dynamic Routing Between Capsules	-
WaveMixLite-128/7	91.06	-	WaveMix: A Resource-efficient Neural Network for Image Analysis	-
Linear Classifier	50.93	-	EMNIST: an extension of MNIST to handwritten letters	-
VGG-5	91.04	3646000	SpinalNet: Deep Neural Network with Gradual Input	-
EMNIST-mobile	91.48	2250000	Efficient Global Neural Architecture Search
OnDev-LCT-1/1	89.52	216208	OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning	-
CNN(Spinal FC)	82.77	13820	SpinalNet: Deep Neural Network with Gradual Input	-
OnDev-LCT-2/1	89.18	315792	OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning	-
OptConv+Log+Perc	87.69	-	Efficient Neural Vision Systems Based on Convolutional Image Acquisition	-
VGG-5(Spinal FC)	91.05	3630000	SpinalNet: Deep Neural Network with Gradual Input	-
OnDev-LCT-8/1	89.55	913296	OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning	-
PMM (Parametric Matrix Model)	81.57	13792	Parametric Matrix Models	-
OPIUM Classifier	78.94	-	EMNIST: an extension of MNIST to handwritten letters	-

0 of 20 row(s) selected.