List your company

Class-Incremental Learning on CUB200

90.5Last AccuracyJoint full tuning
50.584860.947471.3181.6726Mar 28, 2024Aug 6, 2024Dec 16, 2024Apr 26, 2025Sep 5, 2025Jan 14, 2026May 26, 2026

Evaluation results

MethodLinks
Joint full tuningBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=102024.1190.5——
MOSBackbone=ViT-B/16-IN21K, Number of tasks=102026.0589.91—92.87
E2-LoRABackbone=ViT-B/16-IN21K, Number of tasks=102026.0589.77—92.68
TSVDBackbone=ViT/B-Sup21K2026.0189.23——
SoTUBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=102024.1189.192.7—
RanPACBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=102024.1188.992.6—
HiDe-LoRABackbone=ViT/B-Sup21K2026.0188.76—89.32
SSIATBackbone=ViT-B/16-IN21K, Number of tasks=102026.0588.75—93
Joint TrainingBackbone=ViT/B-Sup21K2026.0188.43——
TUNABackbone=ViT-B/16-IN21K, Number of tasks=102026.0588.4—92.01
Joint TrainingBackbone=ViT-B/16-IN21K, Number of tasks=102026.0588.26——
RanPACBackbone=ViT/B-Sup21K2026.0188.13——
RanPACBackbone=ViT-B/16-IN21K, Number of tasks=102026.0587.88—92.57
NSP-SeqKD + LR-RGDA + HopDCBackbone=ViT/B-Sup21K2026.0187.65—92.12
SeqKD + LR-RGDA + HopDCBackbone=ViT/B-Sup21K2026.0187.22—92.14
HiDe-PromptBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=102024.1187.287.8—
LoRA-SeqKD + LR-RGDABackbone=ViT/B-Sup21K2026.0187.07—91.63
LoRA-SeqKD + LR-RGDA + HopDCBackbone=ViT/B-Sup21K2026.0187.07—91.65
LoRA-SeqFT + LR-RGDA + HopDCBackbone=ViT/B-Sup21K2026.0186.72—91.53
SLCA++Backbone=ViT/B-Sup21K2026.0186.59—91.63
ADAM (Ada)Backbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=10, variant=Ada2024.1186.291.1—
CoMABackbone=ViT/B-Sup21K2026.0185.95—90.75
RanProj + LR-RGDABackbone=ViT/B-Sup21K2026.0185.73—90.92
NSP-SeqFT + LR-RGDA + HopDCBackbone=ViT/B-Sup21K2026.0185.68—91.45
ADAM (SSF)Backbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=10, variant=SSF2024.1185.690.5—
NSP-SeqKD + LR-RGDABackbone=ViT/B-Sup21K2026.0185.23—91.24
SimpleCILBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=102024.1185.290.6—
SLCABackbone=ViT/B-Sup21K2026.0184.71—90.94
SLCABackbone=ViT-B/16-IN21K, Number of tasks=102026.0584.71—90.94
DERBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=10, Examples per class=202024.1184.788.9—
SeqKD + LR-RGDABackbone=ViT/B-Sup21K2026.0184.2—91.1
LoRA-SeqFT + LR-RGDABackbone=ViT/B-Sup21K2026.0183.82—89.74
MEMOBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=10, Examples per class=202024.1182.788.9—
SeqFT + LR-RGDA + HopDCBackbone=ViT/B-Sup21K2026.0182.27—89.7
CoOp + OursBackbone=ViT-B/162024.0381.9586.99—
OursBackbone=ViT-B/162024.0381.6486.93—
NSP-SeqFT + LR-RGDABackbone=ViT/B-Sup21K2026.0180.62—89.44
LAE-AdapterBackbone=ViT/B-Sup21K2026.0180.52—84.75
iCaRLBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=10, Examples per class=202024.1180.587.6—
CODA-PBackbone=ViT-B/162024.0380.3984.77—
EASEBackbone=ViT-B/16-IN21K, Number of tasks=102026.0579.9—86.65
PROOFBackbone=ViT-B/162024.0379.3583.98—
CODA-PromptBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=102024.1179.384.1—
Single-task JOINTBackbone=ViT-B/162024.0379.2382.25—
AttriCLIP + OursBackbone=ViT-B/162024.0379.0183.71—
ESNBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=102024.1178.482.3—
FOSTERBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=10, Examples per class=202024.1176.781.8—
DualPromptBackbone=ViT-B/162024.0376.2982.37—
iCaRLBackbone=ViT-B/162024.0375.182.39—
MaPLe + OursBackbone=ViT-B/162024.0374.2481.53—
CODA-PromptBackbone=ViT/B-Sup21K2026.0171.43—78.61
SeqFT + LR-RGDABackbone=ViT/B-Sup21K2026.0170.94—82.55
DualPromptBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=102024.1168.779.8—
CoOpBackbone=ViT-B/162024.0368.5376.62—
L2PBackbone=ViT-B/162024.0368.4776.98—
L2PBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=102024.1168.179.6—
DualPromptBackbone=ViT-B/16-IN21K, Number of tasks=102026.0566—77.92
MaPLeBackbone=ViT-B/162024.0364.4373.38—
L2PBackbone=ViT-B/16-IN21K, Number of tasks=102026.0562.21—73.83
Ours w/o VIBackbone=ViT-B/162024.0361.8772.21—
VPTBackbone=ViT-B/162024.0360.0369.14—
Continual-CLIPBackbone=ViT-B/162024.0354.867—
CLIP-AdapterBackbone=ViT-B/162024.0354.4967.41—
AttriCLIPBackbone=ViT-B/162024.0352.1265.26—