Image Classification on ImageNet

Metric: Top 1 Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Top 1 Accuracy▼	Extra Data	Paper	Date↕	Code
1	Unicom (ViT-L/14@336px) (Finetuned)	88.3	No	Unicom: Universal and Compact Representation Lea...	2023-04-12	Code
2	Bamboo (Bamboo-H)	87.1	No	A Study on Transformer Configuration and Trainin...	2022-05-21	-
3	DINOv2+reg (ViT-g/14)	87.1	Yes	Vision Transformers Need Registers	2023-09-28	Code
4	Bamboo (Bamboo-L)	86.3	No	A Study on Transformer Configuration and Trainin...	2022-05-21	-
5	TinySaver(ConvNeXtV2_h, 0.01 Acc drop)	86.24	No	Tiny Models are the Computational Saver for Larg...	2024-03-26	Code
6	Refiner-ViT-L	86.03	No	Refiner: Refining Self-attention for Vision Tran...	2021-06-07	Code
7	TinySaver(ConvNeXtV2_h, 0.5 Acc drop)	85.75	No	Tiny Models are the Computational Saver for Larg...	2024-03-26	Code
8	TinySaver(Swin_large, 0.5 Acc drop)	85.74	No	Tiny Models are the Computational Saver for Larg...	2024-03-26	Code
9	TinySaver(Swin_large, 1.0 Acc drop)	85.24	No	Tiny Models are the Computational Saver for Larg...	2024-03-26	Code
10	Bamboo (Bamboo-B)	84.2	No	A Study on Transformer Configuration and Trainin...	2022-05-21	-
11	AIM-7B	84	No	Scalable Pre-training of Large Autoregressive Im...	2024-01-16	Code
12	DynamicViT-LV-M/0.8	83.9	No	DynamicViT: Efficient Vision Transformers with D...	2021-06-03	Code
13	TinySaver(EfficientFormerV2_l, 0.01 Acc drop)	83.52	No	Tiny Models are the Computational Saver for Larg...	2024-03-26	Code
14	KAT-B*	82.8	No	Kolmogorov-Arnold Transformer	2024-09-16	Code
15	ReViT-B	82.4	No	ReViT: Enhancing Vision Transformers Feature Div...	2024-02-17	Code
16	ConvNeXt-T-Hermite	82.34	No	Polynomial, trigonometric, and tropical activati...	2025-02-03	Code
17	ConvMixer-1536/20	82.2	No	Patches Are All You Need?	2022-01-24	Code
18	DIFFQ (λ=1e−2)	82	No	Differentiable Model Compression via Pseudo Quan...	2021-04-20	Code
19	DeiT-B	81.8	No	Kolmogorov-Arnold Transformer	2024-09-16	Code
20	EsViT (Swin-B)	81.3	No	Efficient Self-supervised Vision Transformers fo...	2021-06-17	Code
21	SimpleNetV1-9m-correct-labels	81.24	No	Lets keep it simple, Using simple architectures ...	2016-08-22	Code
22	ResNeXt-101 (Debiased+CutMix)	81.2	No	Shape-Texture Debiased Neural Network Training	2020-10-12	Code
23	EsViT(Swin-S)	80.8	No	Efficient Self-supervised Vision Transformers fo...	2021-06-17	Code
24	SimpleNetV1-5m-correct-labels	79.12	No	Lets keep it simple, Using simple architectures ...	2016-08-22	Code
25	ViT-B/16	79.1	No	Kolmogorov-Arnold Transformer	2024-09-16	Code
26	Inception V3	78.8	No	-	-	-
27	CSAT	78.6	No	-	-	-
28	ConvMLP-S	76.8	No	ConvMLP: Hierarchical Convolutional MLPs for Vis...	2021-09-09	Code
29	VGG	76.3	Yes	-	-	-
30	ELP (naive ResNet50)	76.13	No	-	-	Code
31	SimpleNetV1-small-075-correct-labels	75.66	No	Lets keep it simple, Using simple architectures ...	2016-08-22	Code
32	FF	74.9	No	Do You Even Need Attention? A Stack of Feed-Forw...	2021-05-06	Code
33	SimpleNetV1-9m	74.17	No	Lets keep it simple, Using simple architectures ...	2016-08-22	Code
34	VICReg (ResNet50)	73.2	No	VICReg: Variance-Invariance-Covariance Regulariz...	2021-05-11	Code
35	I-VNE+ (ResNet-50)	72.1	No	VNE: An Effective Method for Improving Deep Repr...	2023-04-04	Code
36	SimpleNetV1-5m	71.94	No	Lets keep it simple, Using simple architectures ...	2016-08-22	Code
37	Dspike (VGG-16)	71.24	Yes	-	-	-
38	PSN (SEW ResNet-34)	70.54	No	-	-	-
39	GAC-SNN MS-ResNet-34	70.42	No	Gated Attention Coding for Training High-perform...	2023-08-12	Code
40	SimpleNetV1-small-05-correct-labels	69.11	No	Lets keep it simple, Using simple architectures ...	2016-08-22	Code
41	SimpleNetV1-small-075	68.15	No	Lets keep it simple, Using simple architectures ...	2016-08-22	Code
42	PSN (SEW ResNet-18)	67.63	No	-	-	-
43	OverFeat	66.04	Yes	-	-	-
44	DGPPF-ResNet18	65.22	No	-	-	Code
45	Alexnet	63.3	Yes	-	-	-
46	SimpleNetV1-small-05	61.52	No	Lets keep it simple, Using simple architectures ...	2016-08-22	Code
47	DeepCluster (AlexNet)	41	No	Deep Clustering for Unsupervised Learning of Vis...	2018-07-15	Code
48	Colorisation (improved) (ResNet-101)	39.6	No	Multi-task Self-Supervised Visual Learning	2017-08-25	-
49	NFResnet-50	39.2	No	TAN Without a Burn: Scaling Laws of DP-SGD	2022-10-07	Code
50	Rotation (AlexNet)	38.7	No	Unsupervised Representation Learning by Predicti...	2018-03-21	Code
51	Counting (AlexNet)	34.3	No	Representation Learning by Learning to Count	2017-08-22	Code
52	NFResnet-50	32.4	No	Unlocking High-Accuracy Differentially Private I...	2022-04-28	Code
53	Resnet-18	6.9	No	Toward Training at ImageNet Scale with Different...	2022-01-28	Code
54	Resnet-50	5	No	Toward Training at ImageNet Scale with Different...	2022-01-28	Code