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Image Classification on FGVC Aircraft

88.01AccuracySFDA
34.231648.193362.15576.1167Jun 17, 2021Apr 3, 2022Jan 18, 2023Nov 5, 2023Aug 21, 2024Jun 7, 2025Mar 25, 2026

Evaluation results

MethodLinks
SFDATop-k=k=32022.0788.01——
SFDAcomTop-k=k=32022.0788.01——
SFDATop-k=k=22022.0787.71——
SFDAcomTop-k=k=22022.0787.71——
LogMETop-k=k=22022.0787.23——
LogMETop-k=k=32022.0787.23——
NLEEPTop-k=k=32022.0786.98——
LaCLIPArchitecture=ViT-B/16, Pre-training Data=LAION-400M, Protocol=5-way 5-shot2023.0586.1——
NLEEPTop-k=k=22022.0785.17——
LaCLIPArchitecture=ViT-B/32, Pre-training Data=LAION-400M, Protocol=5-way 5-shot2023.0582.2——
CLIPArchitecture=ViT-B/16, Pre-training Data=LAION-400M, Protocol=5-way 5-shot2023.0580.8——
SVD-ViTComponents=SPC, Layer=112026.0280.68——
SVD-ViTComponents=SPC + ID-RSVD, Layer=112026.0279.93——
SVD-ViTComponents=SPC + SSVA, Layer=102026.0279.84——
SVD-ViTComponents=SPC + SSVA, Layer=112026.0279.63——
MLCDPre-training Data=LAION-400M, Backbone=ViT-L/14, Evaluation Protocol=Linear Probe2024.0779.6——
SVD-ViTComponents=SPC + SSVA, Layer=92026.0279.45——
SVD-ViTComponents=SPC + ID-RSVD, Layer=92026.0279.45——
SVD-ViTComponents=SPC, Layer=102026.0279.27——
CLIPArchitecture=ViT-B/32, Pre-training Data=LAION-400M, Protocol=5-way 5-shot2023.0578.9——
SVD-ViTComponents=SPC + SSVA + ID-RSVD, Layer=102026.0278.82——
SVD-ViTComponents=SPC, Layer=92026.0278.61——
SVD-ViTComponents=SPC + ID-RSVD, Layer=102026.0278.46——
SVD-ViTComponents=SPC + SSVA + ID-RSVD, Layer=112026.0278.1——
ViTCLS=1, Layer=-2026.0277.86——
SVD-ViTComponents=SPC + SSVA + ID-RSVD, Layer=92026.0277.74——
ViTCLS=8, Layer=-2026.0276.27——
UNICOMPre-training Data=LAION-400M, Backbone=ViT-L/14, Evaluation Protocol=Linear Probe2024.0774.5——
CLIPPre-training Data=WIT-400M, Backbone=ViT-L/14, Evaluation Protocol=Linear Probe2024.0769.4——
LaCLIPArchitecture=ViT-B/16, Pre-training Data=CC12M, Protocol=5-way 5-shot2023.0568.1——
CLIP+Pre-training Data=WIT-400M, Backbone=ViT-L/14, Evaluation Protocol=Linear Probe2024.0768——
OpenCLIPPre-training Data=LAION-400M, Backbone=ViT-L/14, Evaluation Protocol=Linear Probe2024.0764.4——
CLIPArchitecture=ViT-B/16, Pre-training Data=CC12M, Protocol=5-way 5-shot2023.0562——
EsViTBackbone=Swin-T, Evaluation Protocol=Linear probe2021.0661.1——
RényiCLEvaluation Protocol=linear evaluation, Multi-crop Augmentation=true2022.0861.1——
LaSLIPArchitecture=ViT-B/16, Pre-training Data=CC12M, Protocol=5-way 5-shot2023.0561——
Supervised(IN1K)Pretrain Dataset=1.2M, Backbone=ResNet-50, Evaluation Protocol=End-to-end fine-tuning2022.0460——
CLIP*Image Encoder=ViT-B/16, Pretrain Dataset Size=400M, Evaluation Protocol=Linear probe2022.0459.5——
RényiCLEvaluation Protocol=linear evaluation, Multi-crop Augmentation=false2022.0858.8——
LaCLIPArchitecture=ViT-B/16, Pre-training Data=RedCaps, Protocol=5-way 5-shot2023.0558.8——
PyramidCLIPPretrain Dataset=143M, Backbone=ResNet-50, Evaluation Protocol=End-to-end fine-tuning2022.0458.4——
GalLoPShots=16, Backbone=ViT-B/16, Pre-training=CLIP2026.0358.3——
CLIP*Pretrain Dataset=400M, Backbone=ResNet-50, Evaluation Protocol=End-to-end fine-tuning2022.0457.8——
SOT-GLPShots=16, Backbone=ViT-B/16, Pre-training=CLIP2026.0357.6——
AWTShots=162024.0757.08——
PyramidCLIPImage Encoder=ViT-B/16, Pretrain Dataset Size=143M, Evaluation Protocol=Linear probe2022.0456.5——
SLIPArchitecture=ViT-B/16, Pre-training Data=CC12M, Protocol=5-way 5-shot2023.0556.4——
Skip TuningShot=16, Time (s)=962, Mem. (M)=5282024.1255.57——
Partial-LoRAParameter Count=0.31M2025.1254.58——
CLIPArchitecture=ViT-B/16, Pre-training Data=RedCaps, Protocol=5-way 5-shot2023.0554.5——
LoRAParameter Count=0.67M2025.1254.34——
DoRAParameter Count=0.75M2025.1253.41——
AdaLoRAParameter Count=0.67M2025.1252.74——
VeRAParameter Count=0.10M2025.1252.29——
Partial-AdaLoRAParameter Count=0.30M2025.1252.22——
CLIP*Image Encoder=ViT-B/32, Pretrain Dataset Size=400M, Evaluation Protocol=Linear probe2022.0452——
CLSAEvaluation Protocol=linear evaluation, Multi-crop Augmentation=false2022.0851.6——
SupervisedBackbone=Swin-T, Evaluation Protocol=Linear probe2021.0651.5——
LoRA+Parameter Count=0.67M2025.1251.46——
ProSRCShot=16, Time (s)=14403, Mem. (M)=33732024.1250.83——
PromptSRCShots=16, Backbone=ViT-B/16, Pre-training=CLIP2026.0350.8——
InfoMinEvaluation Protocol=linear evaluation, Multi-crop Augmentation=false2022.0850.5——
PyramidCLIPImage Encoder=ViT-B/32, Pretrain Dataset Size=143M, Evaluation Protocol=Linear probe2022.0450.2——
CLSAEvaluation Protocol=linear evaluation, Multi-crop Augmentation=true2022.0850——
LaCLIPArchitecture=ViT-B/16, Pre-training Data=CC3M, Protocol=5-way 5-shot2023.0549.2——
CLIPBackbone=ResNet-50, Evaluation Protocol=Linear probe2021.0649.1——
SwAVEvaluation Protocol=Linear probe, Backbone=ResNet-50, Pre-training Dataset=ImageNet, Multi-crop Augmentation=2 x 160 + 4 x 962022.0949.1——
SupervisedBackbone=ResNet-50, Evaluation Protocol=Linear probe2021.0648.5——
SupervisedBackbone=ResNet-50, Evaluation Protocol=Linear probe, Reproduced=true2021.0648.4——
MaPLeShot=16, Time (s)=14070, Mem. (M)=30612024.1248.4——
MaPLeShots=16, Backbone=ViT-B/16, Pre-training=CLIP2026.0348.4——
DISSLEvaluation Protocol=Linear probe, Backbone=ResNet-50, Pre-training Dataset=ImageNet, Multi-crop Augmentation=2 x 160 + 4 x 962022.0948.1——
SCANShot=162025.0547.97——
PLOTShots=16, Backbone=ViT-B/16, Pre-training=CLIP2026.0346.7——
Skip TuningShot=8, Time (s)=508, Mem. (M)=5282024.1246.5——
CLIPArchitecture=ViT-B/16, Pre-training Data=CC3M, Protocol=5-way 5-shot2023.0546.1——
Linear ProbeShots=16, Backbone=ViT-B/16, Pre-training=CLIP2026.0345.4——
CoOpShots=162024.0743.4——
CoOpShot=16, Time (s)=3879, Mem. (M)=45512024.1243.4——
CoOpShots=16, Backbone=ViT-B/16, Pre-training=CLIP2026.0343.4——
ProSRCShot=8, Time (s)=7636, Mem. (M)=33732024.1243.27——
OpenCLIP VIT-H/14zero-shot=true2023.0342.3——
MaPLeShot=8, Time (s)=7060, Mem. (M)=30612024.1242——
SCANShot=82025.0541.4——
StatABackbone=ViT-L/14, Scenario=Separate, Batch Size=1282025.0141.3——
StatABackbone=ViT-L/14, Batch Size=128, Online Test-Time Adaptation=true, Scenario=Separate2025.0141.3——
LoCoOpShots=16, Backbone=ViT-B/16, Pre-training=CLIP2026.0340.7——
Align+MixShot=16, Backbone=ResNet-502026.0340.5——
GDAShot=16, Backbone=ResNet-502026.0340.3——
SimNLShot=162025.0540.27——
ProDAShots=16, Backbone=ViT-B/16, Pre-training=CLIP2026.0340.2——
Skip TuningShot=4, Time (s)=280, Mem. (M)=5282024.1239.9——
StatABackbone=ViT-L/14, Scenario=High, Batch Size=1282025.0139.6——
StatABackbone=ViT-L/14, Batch Size=128, Online Test-Time Adaptation=true, Scenario=High2025.0139.6——
CoOpShot=8, Time (s)=1988, Mem. (M)=45512024.1239——
StatABackbone=ViT-L/14, Scenario=Medium, Batch Size=1282025.0138.3——
StatABackbone=ViT-L/14, Batch Size=128, Online Test-Time Adaptation=true, Scenario=Medium2025.0138.3——
ProSRCShot=4, Time (s)=3841, Mem. (M)=33732024.1237.47——
CLIPFT + ABackbone=ViT-B/32, Evaluation Protocol=Zero-shot, Text Prompting Strategy=LLM attributes, Training Approach=Fine-tuned2024.0136.41——
TaskResShot=162025.0536.3——