Fine-grained Image Classification on Stanford Cars (test)
97.3AccuracyPMAL
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| PMALBackbone=TResnet-L2024.01 | 97.3 | — | — | — | |
| PMDBackbone=TResnet-L2024.01 | 97.3 | — | — | — | |
| CMALBackbone=TResnet-L2024.01 | 97.1 | — | — | — | |
| SR-GNNBackbone=Xception, Attentional Refinement=true2022.09 | 96.1 | — | — | — | |
| TResNet2020.05 | 96 | — | — | — | |
| CAPBackbone=Xception2022.09 | 95.7 | — | — | — | |
| AttNet + AffNetsetting=2, passes=single-pass2020.05 | 95.6 | — | — | — | |
| Baseline + CALBackbone=ResNet-1012021.08 | 95.5 | — | — | — | |
| APCNBackbone=ResNet-502022.09 | 95.4 | — | — | — | |
| PMALBackbone=Resnet502024.01 | 95.4 | — | — | — | |
| API-Net2020.05 | 95.3 | — | — | — | |
| AttNet + AffNetsetting=1, passes=single-pass2020.05 | 95.3 | — | — | — | |
| API-Net2020.11 | 95.3 | — | — | — | |
| API-NetBackbone=DenseNet-1612021.08 | 95.3 | — | — | — | |
| APINBackbone=DenseNet-1612022.09 | 95.3 | — | — | — | |
| CAMFBackbone=Swin Transformer, Vision Transformer=true2022.09 | 95.3 | — | — | — | |
| PMDBackbone=Resnet502024.01 | 95.3 | — | — | — | |
| Attribute Mix (S3N)Backbone=ResNet-502020.04 | 95.2 | — | — | — | |
| DenseNet161+MM+FRLBackbone=DenseNet-1612020.11 | 95.2 | — | — | — | |
| PMGInput Resolution=448x4482020.11 | 95.1 | — | — | — | |
| Ours_PMGInput Resolution=448x448, Backbone=PMG2020.11 | 95.1 | — | — | — | |
| GaRDBackbone=ResNet-502022.09 | 95.1 | — | — | — | |
| PMGBackbone=ResNet-502022.09 | 95.1 | — | — | — | |
| PMGBackbone=Resnet502024.01 | 95.1 | — | — | — | |
| ELOPE2020.05 | 95 | — | — | — | |
| Attribute Mix (MGE-CNN)Backbone=ResNet-502020.04 | 95 | — | — | — | |
| PMGParam. (M)=45, re-implemented=true2019.10 | 95 | — | — | — | |
| ELOPE2020.11 | 95 | — | — | — | |
| Attribute MixBackbone=ResNet-502020.04 | 94.9 | — | — | — | |
| CSCBackbone=ResNet-502022.09 | 94.9 | — | — | — | |
| GPipe2020.05 | 94.8 | — | — | — | |
| AutoAugm2020.05 | 94.8 | — | — | — | |
| ACEBackbone=DenseNet-161, Param. (M)=282019.10 | 94.8 | — | — | — | |
| DF-GMM2020.11 | 94.8 | — | — | — | |
| API-NetInput Resolution=448x4482020.11 | 94.8 | — | — | — | |
| TrnFGBackbone=ViT-B-16, Text Description=true2022.09 | 94.8 | — | — | — | |
| DF-GMMBackbone=Resnet502024.01 | 94.8 | — | — | — | |
| TransFGBackbone=ViT-B_162024.01 | 94.8 | — | — | — | |
| TBMSL-Netapproach=multi-scale and multi-patch2020.05 | 94.7 | — | — | — | |
| S3NBackbone=ResNet-502020.04 | 94.7 | — | — | — | |
| S3NParam. (M)=101, re-implemented=true2019.10 | 94.7 | — | — | — | |
| S3N2020.11 | 94.7 | — | — | — | |
| DenseNet161+MMBackbone=DenseNet-1612020.11 | 94.7 | — | — | — | |
| S3NsBackbone=ResNet-502022.09 | 94.7 | — | — | — | |
| GrafitBackbone=Efficientnet-B72024.01 | 94.7 | — | — | — | |
| ACNetBackbone=ResNet-50, Annotation=false2019.09 | 94.6 | — | — | — | |
| ACNet2020.11 | 94.6 | — | — | — | |
| WS-DAN2019.01 | 94.5 | — | — | — | |
| DCLBackbone=ResNet-50, Annotation=false2019.09 | 94.5 | — | — | — | |
| DCL2020.03 | 94.5 | — | — | — | |
| LIO/ResNet-50Backbone=ResNet-50, Multi-stage=true2020.03 | 94.5 | — | — | — | |
| DCL2020.05 | 94.5 | — | — | — | |
| DCLBackbone=ResNet-50, Param. (M)=~242019.10 | 94.5 | — | — | — | |
| DCL2020.11 | 94.5 | — | — | — | |
| CIN2020.11 | 94.5 | — | — | — | |
| WS-DAN2021.08 | 94.5 | — | — | — | |
| DCL2021.08 | 94.5 | — | — | — | |
| DCLBackbone=ResNet-502022.09 | 94.5 | — | — | — | |
| CINBackbone=Resnet1012024.01 | 94.5 | — | — | — | |
| LIOBackbone=Resnet502024.01 | 94.5 | — | — | — | |
| ACNetBackbone=VGG-16, Annotation=false2019.09 | 94.3 | — | — | — | |
| DBBackbone=ResNet-50, Param. (M)=~242019.10 | 94.3 | — | — | — | |
| ACEBackbone=ResNet-50, Param. (M)=242019.10 | 94.3 | — | — | — | |
| DFL2020.11 | 94.3 | — | — | — | |
| OursInput Resolution=448x4482020.11 | 94.3 | — | — | — | |
| Desnet264-GTCBackbone=Desnet2642024.01 | 94.3 | — | — | — | |
| LIO/ResNet-50Backbone=ResNet-50, Feature Map Size=14x142020.03 | 94.2 | — | — | — | |
| DCLBackbone=VGG-16, Annotation=false2019.09 | 94.1 | — | — | — | |
| ISF2020.05 | 94.1 | — | — | — | |
| DBTNetBackbone=ResNet-502020.04 | 94.1 | — | — | — | |
| LIO/ResNet-50Backbone=ResNet-50, Feature Map Size=28x282020.03 | 94 | — | — | — | |
| GCL2020.11 | 94 | — | — | — | |
| BaselineBackbone=ResNet-1012021.08 | 94 | — | — | — | |
| MPN-COV + SEBBackbone=DenseNet-1692022.05 | 94 | — | — | — | |
| SEFBackbone=Resnet502024.01 | 94 | — | — | — | |
| GCLBackbone=Resnet502024.01 | 94 | — | — | — | |
| Resnet101-GTCBackbone=Resnet1012024.01 | 94 | — | — | — | |
| NTS-NetK=42018.09 | 93.9 | — | — | — | |
| NTS-Net2019.01 | 93.9 | — | — | — | |
| NTS-Net2020.03 | 93.9 | — | — | — | |
| LIO/ResNet-50Backbone=ResNet-50, Feature Map Size=7x72020.03 | 93.9 | — | — | — | |
| NTS-Net2020.05 | 93.9 | — | — | — | |
| MGE-CNNBackbone=ResNet-502020.04 | 93.9 | — | — | — | |
| NTS-NetBackbone=ResNet-50, Param. (M)=~242019.10 | 93.9 | — | — | — | |
| NTS-Net2020.11 | 93.9 | — | — | — | |
| MGE-CNN2020.11 | 93.9 | — | — | — | |
| NTSInput Resolution=448x4482020.11 | 93.9 | — | — | — | |
| NTS-Net2021.08 | 93.9 | — | — | — | |
| Resnet50-LRAUBackbone=Resnet502024.01 | 93.9 | — | — | — | |
| DFL-CNN2019.01 | 93.8 | — | — | — | |
| HBPASMBackbone=Resnet-34, Annotation=false2019.09 | 93.8 | — | — | — | |
| TASNBackbone=ResNet-50, Annotation=false2019.09 | 93.8 | — | — | — | |
| DFL-CNN2020.11 | 93.8 | — | — | — | |
| TASNInput Resolution=448x4482020.11 | 93.8 | — | — | — | |
| SaSPAType=Ours, Backbone=ResNet-50, Diffusion Model=BLIP-diffusion2024.06 | 93.8 | — | — | — | |
| NTS-NetK=22018.09 | 93.7 | — | — | — | |
| HBP2020.03 | 93.7 | — | — | — | |
| MC-LossInput Resolution=448x4482020.11 | 93.7 | — | — | — | |
| SR-GNNBackbone=Xception, Attentional Refinement=false2022.09 | 93.7 | — | — | — | |
| SaSPA w/o BLIP-diffusionType=Ours, Backbone=ResNet-50, Diffusion Model=Stable Diffusion v1.52024.06 | 93.7 | — | — | — |