Image Classification On Cifar 100

평가 지표

Percentage correct

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	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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