ML Research Wiki / Benchmarks / Image Classification / Stanford Cars

Stanford Cars

Image Classification Benchmark

Performance Over Time

📊 Showing 24 results | 📏 Metric: Accuracy

Top Performing Models

Rank Model Paper Accuracy Date Code
1 efficient adaptive ensembling Efficient Adaptive Ensembling for Image Classification 96.87 2022-06-15 -
2 TResNet-L-V2 ImageNet-21K Pretraining for the Masses 96.32 2021-04-22 📦 Alibaba-MIIL/ImageNet21K 📦 YutingLi0606/SURE 📦 encounter1997/fp-detr 📦 gregorbachmann/scaling_mlps 📦 MS-Mind/MS-Code-01
3 EfficientNetV2-L EfficientNetV2: Smaller Models and Faster Training 95.10 2021-04-01 📦 rwightman/pytorch-image-models 📦 pytorch/vision 📦 lukemelas/EfficientNet-PyTorch
4 EfficientNetV2-M EfficientNetV2: Smaller Models and Faster Training 94.60 2021-04-01 📦 rwightman/pytorch-image-models 📦 pytorch/vision 📦 lukemelas/EfficientNet-PyTorch
5 CaiT-M-36 U 224 Going deeper with Image Transformers 94.20 2021-03-31 📦 rwightman/pytorch-image-models 📦 lucidrains/vit-pytorch 📦 facebookresearch/deit
6 ImageNet + iNat on WS-DAN Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization 94.10 2020-10-06 -
7 CeiT-S (384 finetune resolution) Incorporating Convolution Designs into Visual Transformers 94.10 2021-03-22 📦 rishikksh20/CeiT-pytorch 📦 coeusguo/ceit 📦 mindspore-courses/External-Attention-MindSpore
8 EfficientNetV2-S EfficientNetV2: Smaller Models and Faster Training 93.80 2021-04-01 📦 rwightman/pytorch-image-models 📦 pytorch/vision 📦 lukemelas/EfficientNet-PyTorch
9 ViT-B/16 (RPE w/ GAB) Understanding Gaussian Attention Bias of Vision Transformers Using Effective Receptive Fields 93.74 2023-05-08 📦 kmbmjn/GaussianAttentionBias
10 CeiT-S Incorporating Convolution Designs into Visual Transformers 93.20 2021-03-22 📦 rishikksh20/CeiT-pytorch 📦 coeusguo/ceit 📦 mindspore-courses/External-Attention-MindSpore

All Papers (24)