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K
Accueil
SOTA
Classification d'images
Image Classification On Emnist Balanced
Image Classification On Emnist Balanced
Métriques
Accuracy
Trainable Parameters
Résultats
Résultats de performance de divers modèles sur ce benchmark
Columns
Nom du modèle
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
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