Image Classification On Omnibenchmark

Metrics

Average Top-1 Accuracy

Results

Performance results of various models on this benchmark

Model Name	Average Top-1 Accuracy	Paper Title	Repository
Bamboo-R50	45.4	Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy	-
Adapter-ViTB/16	44.5	Parameter-Efficient Transfer Learning for NLP	-
BeiT	30.1	BEiT: BERT Pre-Training of Image Transformers	-
IG-1B	40.4	Billion-scale semi-supervised learning for image classification	-
InceptionV4	32.3	Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	-
ReLabel	30.8	Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels	-
NOAH-ViTB/16	47.6	Neural Prompt Search	-
MAE	30.6	Masked Autoencoders Are Scalable Vision Learners	-
Manifold	31.6	Manifold Mixup: Better Representations by Interpolating Hidden States	-
MLP-Mixer	32.2	MLP-Mixer: An all-MLP Architecture for Vision	-
ResNet-101	37.4	Deep Residual Learning for Image Recognition	-
ResNet-50	34.3	Deep Residual Learning for Image Recognition	-
MoCoV2	34.8	Momentum Contrast for Unsupervised Visual Representation Learning	-
SwinTransformer	46.4	Swin Transformer: Hierarchical Vision Transformer using Shifted Windows	-
MoPro-V2	36.1	MoPro: Webly Supervised Learning with Momentum Prototypes	-
EfficientNetB4	35.8	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	-
CLIP-RN50	42.1	Learning Transferable Visual Models From Natural Language Supervision	-
DINO	38.9	Emerging Properties in Self-Supervised Vision Transformers	-
BiT-M	40.4	Big Transfer (BiT): General Visual Representation Learning	-
SwAV	38.3	Unsupervised Learning of Visual Features by Contrasting Cluster Assignments	-

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