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SOTA
Image Classification
Image Classification On Cifar 100
Image Classification On Cifar 100
評価指標
Percentage correct
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
Percentage correct
Paper Title
Repository
Stochastic Pooling
57.5
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
WRN-28-10 with reSGHMC
84.38
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
MIM
70.8
On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units
-
ViT-L (attn fine-tune)
93.0
Three things everyone should know about Vision Transformers
CoPaNet-R-164
81.10
Deep Competitive Pathway Networks
PyramidNet+ShakeDrop
89.3
AutoAugment: Learning Augmentation Policies from Data
DIANet
76.98
DIANet: Dense-and-Implicit Attention Network
WRN-28-8 (PuzzleMix+DM)
85.25
-
-
Dspike (ResNet-18)
74.24
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks
-
Res2NeXt-29
83.44
Res2Net: A New Multi-scale Backbone Architecture
WideResNet 28-10 + CutMix (OneCycleLR scheduler)
83.97
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding
ViT (lightweight, MAE pre-trained)
78.27
Pre-training of Lightweight Vision Transformers on Small Datasets with Minimally Scaled Images
-
RL-Mix (PreActResNet-18)
80.75
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding
PDO-eConv (p6m,0.37M)
73
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions
ResNet-9
75.59
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters
BiT-M (ResNet)
92.17
Big Transfer (BiT): General Visual Representation Learning
Residual Gates + WRN
81.73
Learning Identity Mappings with Residual Gates
-
PyramidNet (SAM)
89.7
Sharpness-Aware Minimization for Efficiently Improving Generalization
ResMLP-24
89.5
ResMLP: Feedforward networks for image classification with data-efficient training
ABNet-2G-R1
78.792
ANDHRA Bandersnatch: Training Neural Networks to Predict Parallel Realities
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