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Image Classification on Pets

99.75AccuracyViT-22B
91.27493.474595.67597.8755Dec 21, 2021Sep 17, 2022Jun 15, 2023Mar 12, 2024Dec 8, 2024Sep 5, 2025Jun 3, 2026

Evaluation results

MethodLinks
ViT-22BEvaluation Protocol=Finetuning, Resolution=224, Seeds=32023.0299.75———
ViT-22BEvaluation Protocol=Linear, Resolution=224, Seeds=32023.0298.15———
ViT-22BEvaluation Protocol=H2T (Head2Toe), Resolution=224, Seeds=32023.0297.46———
StatABackbone=ViT-L/14, Keff=Very Low2025.0197.1———
DFN5B-CLIP-H/14+Zero-shot=true2024.0296.8———
HIVEFoundation Model=SigLIP2026.0396.78———
BaseFoundation Model=SigLIP2026.0396.76———
SAFoundation Model=SigLIP2026.0396.76———
DFN5B-CLIP-H/14Zero-shot=true2024.0296.5———
EVA-CLIP-8BZero-shot=true2024.0296.4———
InternVL-CZero-shot=true2024.0296.3———
StatABackbone=ViT-L/14, Keff=Low2025.0196.3———
EVA-CLIP-18BZero-shot=true2024.0296.1———
BaseFoundation Model=CLIP2026.0396.02———
EVA-02-CLIP-E/14+Zero-shot=true2024.0296———
SAFoundation Model=CLIP2026.0395.98———
HIVEFoundation Model=CLIP2026.0395.92———
CLIP-1+DINO(v2+v3)Setting=Inductive, Test-Time Adaptation (TTA)=false2025.0695.4———
OpenCLIP-G/14Zero-shot=true2024.0295.3———
StatABackbone=ResNet-101, Keff=Very Low2025.0195.2———
GalLoP+OursShots=42026.0595.2———
CLIP-1+DINOv3Setting=Inductive, Test-Time Adaptation (TTA)=false2025.0695.1———
GPUASamples per class=full training set2026.0695———
EVA-01-CLIP-g/14+Zero-shot=true2024.0294.9———
StatABackbone=ViT-L/14, K_eff=Medium2025.0194.8———
PromptSRC+OursShots=42026.0594.7———
StatAEncoder=ViT-L/14, K_eff=All2025.0194.6———
GPUA*Samples per class=162026.0694.5———
StatAScenario=High, Backbone=ResNet-101, Batch Size=1282025.0194.4———
StatABackbone=ResNet-101, Batch size=128, Scenario=High2025.0194.4———
CLIP-1+DINOv2Setting=Inductive, Test-Time Adaptation (TTA)=false2025.0694.4———
StatABackbone=ViT-B/32, Keff=Very Low2025.0194.3———
StatABackbone=ViT-B/32, Batch Size=64, Evaluation Protocol=Batch test-time adaptation, K_eff=Very Low2025.0194.3———
VeRAParameter Count=0.10M2025.1294.23———
EVA-01-CLIP-g/14Zero-shot=true2024.0294.2———
StatAScenario=Separate, Backbone=ResNet-101, Batch Size=1282025.0194.2———
StatABackbone=ResNet-101, Batch size=128, Scenario=Separate2025.0194.2———
COSMIC*Setting=Inductive, Test-Time Adaptation (TTA)=true2025.0694.2———
COSMICInference-time adaptation=true2026.0694.2———
StatAScenario=Medium, Backbone=ResNet-101, Batch Size=1282025.0194.1———
StatABackbone=ResNet-101, Batch size=128, Scenario=Medium2025.0194.1———
GalLoPShots=42026.0594.1———
LoRA+Parameter Count=0.67M2025.1294.07———
LoRAParameter Count=0.67M2025.1294.06———
AdaLoRAParameter Count=0.67M2025.1293.91———
StatABackbone=ViT-L/14, Keff=Medium2025.0193.9———
Partial-LoRAParameter Count=0.14M2025.1293.86———
TransCLIP-FSShots=1, Backbone=ViT-B/162024.0693.8———
MLCDPre-training Data=LAION-400M, Backbone=ViT-L/14, Evaluation Protocol=Zero-shot classification2024.0793.7———
PromptSRCShots=42026.0593.7———
CLIPPre-training Data=WIT-400M, Backbone=ViT-L/14, Evaluation Protocol=Zero-shot classification2024.0793.6———
PLOT++Shot=162026.0593.6———
PLOTShots=42026.0593.6———
DoRAParameter Count=0.77M2025.1293.55———
CLIP (reported)Pre-training Data=WIT-400M, Backbone=ViT-L/14, Evaluation Protocol=Zero-shot classification2024.0793.5———
CLIPBackbone=ViT-L/142025.0193.5———
CLIPEncoder=ViT-L/14, K_eff=All2025.0193.5———
ProDAShots=42026.0593.5———
Partial-AdaLoRAParameter Count=0.12M2025.1293.38———
CoCoOpShots=42026.0593.3———
InMaPBackbone=ViT-B/16, Evaluation Protocol=Transductive Zero-Shot2024.0493.2———
CoCoOpShot=162026.0593.2———
KgCoOpShot=162026.0593.2———
TransCLIPBatch Size=1000, Backbone=ViT-B/16, Keff (Effective classes per task)=Medium (5-25)2025.0193.1———
StatABackbone=ResNet-50, Keff=Very Low2025.0193.1———
StatABatch Size=1000, Backbone=ViT-B/16, Keff=Medium (5-25), Protocol=Batch test-time adaptation2025.0193.1———
+DP-FMShot=12026.0593.1———
StatABackbone=ResNet-101, Keff=Low2025.0192.9———
InMaP + ZLaPBackbone=ViT-B/16, Evaluation Protocol=Transductive Zero-Shot2024.0492.8——-0.4
ProGradShot=162026.0592.8———
+DP-FMShot=162026.0592.8———
MaPLeShots=42026.0592.8———
CoCoOpShot=42026.0592.7———
PLOT++Shot=42026.0592.7———
FLIPPre-training Data=LAION-400M, Backbone=ViT-L/14, Evaluation Protocol=Zero-shot classification2024.0792.6———
KgCoOpShot=42026.0592.6———
TIP-AdapterShot=162026.0592.6———
StatABackbone=ViT-B/32, Keff=Low2025.0192.5———
StatABackbone=ViT-B/32, Batch Size=64, Evaluation Protocol=Batch test-time adaptation, K_eff=Low2025.0192.5———
CoOpShot=42026.0592.5———
SupervisedProtocol=Many-Shot classification, Pre-training=ImageNet2021.1292.42———
TransCLIP-FSShots=16, Backbone=ViT-B/162024.0692.4———
LoCoOpShots=42026.0592.4———
TCP+OursShots=42026.0592.4———
StatA2026.0692.4———
CLIP-AdapterShot=162026.0592.3———
+DP-FMShot=42026.0592.2———
KgCoOpShot=12026.0592.1———
ProGradShot=42026.0592.1———
DMN*Setting=Inductive, Test-Time Adaptation (TTA)=true2025.0692———
DMN2026.0692———
ZLaPBatch Size=1000, Backbone=ViT-B/16, Keff (Effective classes per task)=Very High (50-100)2025.0191.9———
TransCLIPBatch Size=1000, Backbone=ViT-B/16, Keff=Very High (50-100), Protocol=Batch test-time adaptation2025.0191.9———
CoCoOpShot=12026.0591.9———
PLOT++Shot=12026.0591.9———
CLIP-LoRAShot=12026.0591.9———
TIP-AdapterShot=42026.0591.9———
CoOpShots=42026.0591.9———
TCP*Shots=42026.0591.8———
TransCLIP-FSShots=4, Backbone=ViT-B/162024.0691.6———