ML Research Wiki / Benchmarks / Fine-Grained Image Classification / Stanford Cars

Stanford Cars

Fine-Grained Image Classification Benchmark

Performance Over Time

📊 Showing 69 results | 📏 Metric: Accuracy

Top Performing Models

Rank Model Paper Accuracy Date Code
1 SR-GNN SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization 96.10 2022-09-05 📦 ardhendubehera/sr-gnn
2 SaSPA + CAL Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation 95.72 2024-06-20 📦 eyalmichaeli/saspa-aug
3 MANO-tiny 📚 Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics 65.68 2025-07-03 📦 AlexColagrande/MANO
4 CIN Channel Interaction Networks for Fine-Grained Image Categorization 0.00 2020-03-11 -
5 CCFR Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition 0.00 2021-02-19 -
6 TResnet-L + PMD Progressive Multi-task Anti-Noise Learning and Distilling Frameworks for Fine-grained Vehicle Recognition 0.00 2024-01-25 📦 dichao-liu/anti-noise_fgvr
7 TResNet-L + ML-Decoder 📚 ML-Decoder: Scalable and Versatile Classification Head 0.00 2021-11-25 📦 alibaba-miil/ml_decoder
8 DAT 📚 Domain Adaptive Transfer Learning with Specialist Models 0.00 2018-11-16 -
9 ALIGN 📚 Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision 0.00 2021-02-11 📦 facebookresearch/metaclip 📦 kakaobrain/coyo-dataset 📦 MicPie/clasp 📦 willard-yuan/video-text-retrieval-papers 📦 pwc-1/Paper-8
10 EffNet-L2 (SAM) 📚 Sharpness-Aware Minimization for Efficiently Improving Generalization 0.00 2020-10-03 📦 davda54/sam 📦 google-research/sam 📦 moskomule/sam.pytorch

All Papers (69)