Image Classification On Cifar 100

Metrics

Percentage correct

Results

Performance results of various models on this benchmark

Model Name	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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