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Image Classification on GTSRB

99.8AccuracyHAWX
83.6887.86592.0596.235Feb 6, 2021Dec 9, 2021Oct 11, 2022Aug 14, 2023Jun 15, 2024Apr 17, 2025Feb 18, 2026

Evaluation results

MethodLinks
HAWXBackbone=EfficientNet, Configuration=1-47:KV8, Power=0.993, Area=0.9742026.0299.8————
HAWXBackbone=EfficientNet, Configuration=1-45,47:KV8 | 46:(KV8,KV9), Power=0.993, Area=0.9722026.0299.8————
CNN3ST2021.0299.71————
Sill-Net2021.0299.68————
HAWXBackbone=EfficientNet, Configuration=1-47:KV6, Power=1, Area=12026.0299.65————
Multiple modelsBackbone=ViT-L/142022.0899.3————
PaRaMSModel Status=Protected Standalone (θ̂_def)2025.1199.24————
fine-tunedBackbone=ViT-L/142026.0299.2————
theta_B fine-tuneBackbone=ViT-L/142025.1099.16————
MMFTModel=ViT, Method=Ours2026.0199.08————
Multiple modelsBackbone=ViT-B/162022.0899————
fine-tunedBackbone=ViT-B/162026.0299————
FTModel=ViT, Method=FT2026.0198.93————
Joint patchingBackbone=ViT-L/142022.0898.9————
fine-tunedBackbone=ViT-B/322026.0298.9————
Fine-TunedBackbone=DINOv3 ViT-B/162025.1298.9————
FLYPModel=ViT, Method=FLYP2026.0198.83————
θBmode=fine-tune2026.0298.77————
θBMode=fine-tune2026.0298.77————
theta_A fine-tuneModel=ViT-B/16, Mode=fine-tune2026.0298.77————
Fine-Tuned*Note=Upper-bound2025.1298.7————
Fine-TunedBackbone=CLIP ViT-B/32, Classes=432025.1298.7————
theta_B fine-tuneBackbone=ViT-B/162025.1098.65————
theta_A fine-tuneModel=laion2b, Protocol=fine-tune2026.0298.64————
theta_B fine-tuneModel=laion400m, Protocol=fine-tune2026.0298.63————
Multiple modelsBackbone=ViT-B/322022.0898.5————
theta_B fine-tuneModel=ViT-L/14, Mode=fine-tune2026.0298.42————
MergeGuardModel Status=Protected Standalone (θ̂_def)2025.1198.25————
MMFTModel=RN50, Method=Ours2026.0197.92————
ISO-C/LARVBackbone=ViT-L/142026.0297.80———
FLYPModel=RN50, Method=FLYP2026.0197.77————
Joint patchingBackbone=ViT-B/162022.0897.7————
ADAProtection Status=None (theta_merge)2025.1197.5————
ISO-CTS/LARVBackbone=ViT-L/142026.0297.3-0.2———
MDA AMBackbone=ViT-B/32, Rotation Alignment=true2025.1197.3————
FTModel=RN50, Method=FT2026.0197.2————
MDA TABackbone=ViT-B/322025.1197————
Joint patchingBackbone=ViT-B/322022.0896.9————
TSV-M/LARVBackbone=ViT-L/142026.0296.90.4———
MDA AMBackbone=ViT-B/32, Rotation Alignment=false2025.1196.9————
TSV TABackbone=ViT-B/322025.1196.7————
ISO-CTS/LARVBackbone=ViT-B/162026.0296.61.9———
Seq. patchingBackbone=ViT-L/14, Seed=22022.0896.2————
EMR-MERGINGBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Number of Merged Models=302024.0595.98————
AdaMerging (Layer) + DeVecApproach=Our Method, Granularity=Layer-based, Optimization=Unsupervised2025.1295.9————
IndividualBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Number of Merged Models=12024.0595.74————
TSV-M/LARVBackbone=ViT-B/322026.0295.1————
LoRAParameter Count=0.67M2025.1295.04————
ISO-C/LARVBackbone=ViT-B/162026.0294.9-0.1———
Partial-LoRAParameter Count=0.26M2025.1294.72————
DoRAParameter Count=0.77M2025.1294.62————
ISO-C/LARVBackbone=ViT-B/322026.0294.62.2———
AdaLoRAParameter Count=0.67M2025.1294.13————
Layer-wise AdaMergingBackbone=ViT-B/322026.0293.8————
AdaMergingBackbone=ViT-B/322025.1193.8————
Partial-AdaLoRAParameter Count=0.25M2025.1293.79————
TSV-M/LARVBackbone=ViT-B/162026.0293.7-0.4———
Seq. patchingBackbone=ViT-L/14, Seed=12022.0893.5————
ISO-CTS/LARVBackbone=ViT-B/322026.0293.5————
AdaMergingBackbone=ViT-L/142026.0293.2————
RegMean++Backbone=ViT-B/322026.0293.2————
ISO-C/LARVBackbone=ViT-B/322026.0293.2————
LoRA+Parameter Count=0.67M2025.1293.03————
HAWXBackbone=EfficientNet, Configuration=1-47:KV9, Power=0.965, Area=0.9392026.0292.8————
HAWXBackbone=EfficientNet, Configuration=1-45,47:KV8 | 46:(KV9,L2J), Power=0.963, Area=0.9352026.0292.8————
TSV-M/LARVBackbone=ViT-B/322026.0292.70.2———
AdaMerging (Layer)Approach=Task Vectors, Granularity=Layer-based2025.1291.9————
Seq. patchingBackbone=ViT-L/14, Seed=02022.0891.8————
AdaMergingBackbone=ViT-B/162026.0291.6————
DOGE TABackbone=ViT-B/322025.1191.6————
ISO-CTS/LARVBackbone=ViT-B/322026.0291.41———
Seq. patchingBackbone=ViT-B/16, Seed=22022.0891.3————
VeRAParameter Count=0.10M2025.1291.23————
X-FM_baseLinear evaluation=true, Model size=Base, Patch size=16*16, Resolution=224*2242023.0190.9————
ISO TABackbone=ViT-B/322025.1190.8————
DeepBackbone=ResNet-18, Visual Reprogramming Method=Watermarking-based, Learning Method Category=Deep learning-based2024.1089.5————
RegMeanBackbone=ViT-B/322026.0289.4————
AdaMerging++ (Layer)Approach=Task Vectors, Granularity=Layer-based2025.1289————
TA/LARVBackbone=ViT-L/142026.0288.85.3———
TIES/LARVBackbone=ViT-L/142026.0288.83.6———
theta_B + delta_starBackbone=ViT-L/142025.1088.65————
ThermoLion2025.1287.98————
EnsemblingBackbone=ViT-L/142026.0287.92————
Seq. patchingBackbone=ViT-B/16, Seed=12022.0887.6————
TIES/LARVBackbone=ViT-B/162026.0287.611.3———
ISO-CLS TABackbone=ViT-B/322025.1187.5————
HAWXBackbone=EfficientNet, Configuration=1-29,34,42,44-47:KV9 | 30-33,35-41:KVP | 43:L2J, Power=0.928, Area=0.9162026.0287.4————
Task MatrixBackbone=CLIP ViT-B/32, Best Layer=11, Classes=432025.1287.2————
Seq. patchingBackbone=ViT-B/32, Seed=22022.0887.1————
Linear ProbeBackbone=CLIP ViT-B/32, Classes=432025.1286.8————
TAProtection Status=None (theta_merge)2025.1186.7————
CLIPLinear evaluation=true, Model size=Base, Patch size=16*16, Resolution=224*2242023.0186.6————
Seq. patchingBackbone=ViT-B/16, Seed=02022.0886.4————
Task MatrixBackbone=DINOv3 ViT-B/16, best layer=112025.1286.3————
DaVinciLinear evaluation=true, Model size=Base, Patch size=16*16, Resolution=224*2242023.0185.8————
Linear ProbeBackbone=DINOv3 ViT-B/162025.1285.7————
AdaMerging (Task) + DeVecApproach=Our Method, Granularity=Task-based, Optimization=Unsupervised2025.1284.9————
AdaMerging (Task)Approach=Task Vectors, Granularity=Task-based2025.1284.6————
EsViTBackbone=Swin-T, Evaluation Protocol=Linear probe2021.0684.3————
TA/LARVBackbone=ViT-B/162026.0284.32.3———