Image Classification on EuroSAT
99.81AccuracyPaRaMS
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| PaRaMSModel Status=Protected Standalone (θ̂_def)2025.11 | 99.81 | — | — | |
| Fine-Tuned*Note=Upper-bound2025.12 | 99.7 | — | — | |
| fine-tunedBackbone=ViT-B/322026.02 | 99.1 | — | — | |
| fine-tunedBackbone=ViT-B/162026.02 | 99.1 | — | — | |
| fine-tunedBackbone=ViT-L/142026.02 | 99.1 | — | — | |
| IndividualBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Number of Merged Models=12024.05 | 99.04 | — | — | |
| FFT# Params (%)=100, Backbone=CLIP ViT-B/322026.04 | 98.96 | — | — | |
| FourierMoE# Params (%)=0.42, Backbone=CLIP ViT-B/322026.04 | 98.93 | — | — | |
| DoRA# Params (%)=1.49, Backbone=CLIP ViT-B/322026.04 | 98.89 | — | — | |
| LoRA (rank32)# Params (%)=5.98, Backbone=CLIP ViT-B/322026.04 | 98.88 | — | — | |
| GOAT# Params (%)=2.24, Backbone=CLIP ViT-B/322026.04 | 98.82 | — | — | |
| Fine-TunedBackbone=DINOv3 ViT-B/162025.12 | 98.8 | — | — | |
| LoRA (rank16)# Params (%)=2.99, Backbone=CLIP ViT-B/322026.04 | 98.74 | — | — | |
| LoRA (rank8)# Params (%)=1.49, Backbone=CLIP ViT-B/322026.04 | 98.66 | — | — | |
| MoLoRA# Params (%)=2.24, Backbone=CLIP ViT-B/322026.04 | 98.63 | — | — | |
| DINOv2Architecture=ViT-g/14, Pre-training Data=LVD, Resolution=518x518, Evaluation Protocol=Attentive Probing, Backbone State=Frozen2024.01 | 98.6 | — | — | |
| AIM-1BArchitecture=ViT-1B/14, Pre-training Data=DFN-2B+, Evaluation Protocol=Attentive Probing, Backbone State=Frozen2024.01 | 98.6 | — | — | |
| AIM-7BArchitecture=ViT-7B/14, Pre-training Data=DFN-2B+, Evaluation Protocol=Attentive Probing, Backbone State=Frozen2024.01 | 98.6 | — | — | |
| FFT MoE# Params (%)=770, Backbone=CLIP ViT-B/322026.04 | 98.59 | — | — | |
| AdaMoLE# Params (%)=2.33, Backbone=CLIP ViT-B/322026.04 | 98.52 | — | — | |
| AIM-3BArchitecture=ViT-3B/14, Pre-training Data=DFN-2B+, Evaluation Protocol=Attentive Probing, Backbone State=Frozen2024.01 | 98.5 | — | — | |
| AIM-7B†Architecture=ViT-7B/14, Pre-training Data=DFN-2B+, Feature Extraction Layer=20th, Evaluation Protocol=Attentive Probing, Backbone State=Frozen2024.01 | 98.5 | — | — | |
| PiSSA# Params (%)=1.49, Backbone=CLIP ViT-B/322026.04 | 98.48 | — | — | |
| AIM-0.6BArchitecture=ViT-H/14, Pre-training Data=DFN-2B+, Evaluation Protocol=Attentive Probing, Backbone State=Frozen2024.01 | 98.4 | — | — | |
| HydraLoRA# Params (%)=1.58, Backbone=CLIP ViT-B/322026.04 | 98.4 | — | — | |
| EnsemblingBackbone=ViT-B/322026.02 | 98.3 | — | — | |
| Fine-TunedBackbone=CLIP ViT-B/32, Classes=102025.12 | 98.3 | — | — | |
| EnsemblingBackbone=ViT-L/142026.02 | 98.24 | — | — | |
| DINOArchitecture=ViT-B/8, Pre-training Data=IN-1k, Evaluation Protocol=Attentive Probing, Backbone State=Frozen2024.01 | 98.2 | — | — | |
| MAEArchitecture=ViT-2B/14, Pre-training Data=IG-3B, Evaluation Protocol=Attentive Probing, Backbone State=Frozen2024.01 | 98.2 | — | — | |
| MiLoRA# Params (%)=1.49, Backbone=CLIP ViT-B/322026.04 | 98.19 | — | — | |
| MAEArchitecture=ViT-H/14, Pre-training Data=IN-1k, Evaluation Protocol=Attentive Probing, Backbone State=Frozen2024.01 | 98.1 | — | — | |
| FourierFT# Params (%)=0.22, Backbone=CLIP ViT-B/322026.04 | 98.02 | — | — | |
| iBOTArchitecture=ViT-L/16, Pre-training Data=IN-21k, Evaluation Protocol=Attentive Probing, Backbone State=Frozen2024.01 | 98 | — | — | |
| TSV-M/LARVBackbone=ViT-L/142026.02 | 97.8 | — | 1.1 | |
| ISO-CTS/LARVBackbone=ViT-L/142026.02 | 97.6 | — | 0.3 | |
| BEiTArchitecture=ViT-L/14, Pre-training Data=IN-21k, Evaluation Protocol=Attentive Probing, Backbone State=Frozen2024.01 | 97.5 | — | — | |
| ISO-C/LARVBackbone=ViT-L/142026.02 | 97.5 | — | 0.3 | |
| ADAProtection Status=None (theta_merge)2025.11 | 97.4 | — | — | |
| ISO-CTS/LARVBackbone=ViT-B/162026.02 | 97.2 | — | 1.2 | |
| Task MatrixBackbone=DINOv3 ViT-B/16, best layer=(6,9,11)2025.12 | 97.1 | — | — | |
| Linear ProbeBackbone=DINOv3 ViT-B/162025.12 | 97 | — | — | |
| GRIPPrompt Modality=Visual, Learning Paradigm=TRZSL, Backbone=ViT-B/322023.06 | 96.97 | — | — | |
| ISO-C/LARVBackbone=ViT-B/162026.02 | 96.9 | — | 0.6 | |
| TSV-M/LARVBackbone=ViT-B/162026.02 | 96.6 | — | 0.4 | |
| EMR-MERGINGBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Number of Merged Models=302024.05 | 96.24 | — | — | |
| Task MatrixBackbone=CLIP ViT-B/32, Best Layer=6,8, Classes=102025.12 | 96.2 | — | — | |
| ISO-C/LARVBackbone=ViT-B/322026.02 | 96.1 | — | 6.4 | |
| Linear ProbeBackbone=CLIP ViT-B/32, Classes=102025.12 | 95.9 | — | — | |
| TIESProtection Status=None (theta_merge)2025.11 | 95.7 | — | — | |
| TSV-M/LARVBackbone=ViT-B/322026.02 | 95.6 | — | 2.2 | |
| GRIPLearning Paradigm=TRZSL2023.06 | 95.52 | — | — | |
| MergeGuardModel Status=Protected Standalone (θ̂_def)2025.11 | 95.46 | — | — | |
| MLCDPre-training Data=LAION-400M, Backbone=ViT-L/14, Evaluation Protocol=Linear Probe2024.07 | 94.7 | — | — | |
| AdaMerging (Layer) + DeVecApproach=Our Method, Granularity=Layer-based, Optimization=Unsupervised2025.12 | 94.7 | — | — | |
| M-TIESBackbone=ViT-L/142026.02 | 94.61 | — | — | |
| Full dataBackbone=ViT-B/32, Evaluation Protocol=Full Data2023.11 | 94.5 | — | — | |
| CLIP+Pre-training Data=WIT-400M, Backbone=ViT-L/14, Evaluation Protocol=Linear Probe2024.07 | 94.5 | — | — | |
| TIES/LARVBackbone=ViT-L/142026.02 | 94.4 | — | 4.7 | |
| TIESBackbone=ViT-L/142026.02 | 94.37 | — | — | |
| AdaMerging++ (Layer)Approach=Task Vectors, Granularity=Layer-based2025.12 | 94.2 | — | — | |
| CLIPPre-training Data=WIT-400M, Backbone=ViT-L/14, Evaluation Protocol=Linear Probe2024.07 | 94.1 | — | — | |
| TAProtection Status=None (theta_merge)2025.11 | 94.1 | — | — | |
| DAREBackbone=ViT-L/142026.02 | 94.06 | — | — | |
| Task ArithmeticBackbone=ViT-L/142026.02 | 93.93 | — | — | |
| AdaMerging (Layer)Approach=Task Vectors, Granularity=Layer-based2025.12 | 93.8 | — | — | |
| AWTShots=162024.07 | 93.68 | — | — | |
| MMRL++shots=162025.05 | 93.5 | — | — | |
| ISO-CTS/LARVBackbone=ViT-B/322026.02 | 93.4 | — | 4.3 | |
| MMRLShots=16 shots2025.03 | 93.37 | — | — | |
| MMRLshots=162025.05 | 93.37 | — | — | |
| 2SFS LoRABackbone=ViT-L/14, Shots (k=16)=16, Evaluation Protocol=all-to-all2025.03 | 93.2 | — | — | |
| 2SFS LoRABackbone=ViT-B/16, Shots (k=16)=16, Evaluation Protocol=all-to-all2025.03 | 92.7 | — | — | |
| TA/LARVBackbone=ViT-L/142026.02 | 92.7 | — | 8.1 | |
| UNICOMPre-training Data=LAION-400M, Backbone=ViT-L/14, Evaluation Protocol=Linear Probe2024.07 | 92.6 | — | — | |
| ProSRCShot=16, Time (s)=14403, Mem. (M)=33732024.12 | 92.43 | — | — | |
| PromptSRCShots=16 shots2025.03 | 92.43 | — | — | |
| PromptSRCshots=162025.05 | 92.43 | — | — | |
| OpenCLIPPre-training Data=LAION-400M, Backbone=ViT-L/14, Evaluation Protocol=Linear Probe2024.07 | 92.4 | — | — | |
| MMAShots=16 shots2025.03 | 92.37 | — | — | |
| MMAshots=162025.05 | 92.37 | — | — | |
| GRIPPrompt Modality=Textual, Learning Paradigm=TRZSL, Backbone=ViT-B/322023.06 | 92.33 | — | — | |
| MaPLeShot=16, Time (s)=14070, Mem. (M)=30612024.12 | 92.33 | — | — | |
| MaPLeShots=16 shots2025.03 | 92.33 | — | — | |
| MaPLeshots=162025.05 | 92.33 | — | — | |
| 2SFS LoRABackbone=ViT-B/32, Shots (k=16)=16, Evaluation Protocol=all-to-all2025.03 | 92.2 | — | — | |
| WAProtection Status=None (theta_merge)2025.11 | 91.9 | — | — | |
| Skip TuningShot=16, Time (s)=962, Mem. (M)=5282024.12 | 91.57 | — | — | |
| Simple Avg.Backbone=ViT-L/142026.02 | 91.17 | — | — | |
| VP (white-box)Access=white-box, Shots=16, Repeated runs=32023.03 | 90.8 | — | — | |
| TIES/LARVBackbone=ViT-B/162026.02 | 90.6 | — | 3.1 | |
| TOGAShots=16, Venue=-2026.03 | 89.4 | — | — | |
| MMRL++shots=42025.05 | 89.23 | — | — | |
| DeepBackbone=ResNet-18, Visual Reprogramming Method=Watermarking-based, Learning Method Category=Deep learning-based2024.10 | 89.2 | — | — | |
| MMRL++shots=82025.05 | 89.17 | — | — | |
| ProSRCShot=8, Time (s)=7636, Mem. (M)=33732024.12 | 88.8 | — | — | |
| PromptSRCShots=8 shots2025.03 | 88.8 | — | — | |
| PromptSRCshots=82025.05 | 88.8 | — | — | |
| MMRLShots=8 shots2025.03 | 88.73 | — | — | |
| MMRLshots=82025.05 | 88.73 | — | — |