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Domain-Incremental Learning on CORe50

99.5Avg Accuracy (A)Residual SODAP
55.757667.113878.4789.8262Oct 1, 2024Jan 15, 2025May 1, 2025Aug 15, 2025Nov 29, 2025Mar 15, 2026Jun 29, 2026

Evaluation results

MethodLinks
Residual SODAPCL-Type=Ours2026.0399.5——0.3
DER++CL-Type=Reh-CL2026.0399.4——6.1
Online EWCCL-Type=Reg-CL2026.0398.9——2.9
OS-Prompt++CL-Type=PCL2026.0398.3——1.4
OS-PromptCL-Type=PCL2026.0398.2——1.2
Dual-promptCL-Type=PCL2026.0397.5——3.6
Coda-PromptCL-Type=PCL2026.0397.4——5.6
CVLCBackbone=CLIP, Shots=8-shot2026.0696.9696.08——
CVLCBackbone=CLIP, Shots=4-shot2026.0696.4495.43——
CVLCBackbone=CLIP, Shots=2-shot2026.0696.2195.11——
CVLCBackbone=CLIP, Shots=1-shot2026.0695.7494.35——
CoVONModel=Vision Transformer (ViT-B/16)2026.0695.14———
MoE-AdaptersCL-Type=Arch-CL2026.0394.9——4.3
MIRAScenario=Domain Incremental Learning2025.1193.89—0—
CoVON-NoMModel=Vision Transformer (ViT-B/16)2026.0693.84———
CoVONModel=CLIP with pretrained ViT-B/16 as vision encoder2026.0692.64———
Disentangled Weight FusionBuffer=0/class2026.0492.3693.57——
MoP-CLIPModel=CLIP with pretrained ViT-B/16 as vision encoder2026.0692.29———
DUCTBackbone=ViT-B/16-IN1K, Exemplars=02024.1091.9594.47——
DUCTBuffer=0/class2026.0491.9594.47——
S-liPromptsModel=CLIP with pretrained ViT-B/16 as vision encoder2026.0690.1———
ICONScenario=Domain Incremental Learning2025.1189.01—0.17—
PGO-BEnBackbone=CLIP, Shots=8-shot2026.0688.4385.34——
CODA-PromptBackbone=ViT-B/16-IN1K, Exemplars=02024.1087.9291.57——
CODA-PromptBuffer=0/class2026.0487.9291.57——
PINABuffer=0/class2026.0487.3889.82——
PINAModel=CLIP with pretrained ViT-B/16 as vision encoder2026.0687.38———
PGO-BEnBackbone=CLIP, Shots=4-shot2026.0687.3883.81——
PINAModel=Vision Transformer (ViT-B/16)2026.0687.26———
PGO-BEnBackbone=CLIP, Shots=2-shot2026.0686.7382.81——
S-PromptsScenario=Domain Incremental Learning2025.1186.5—0.92—
EASEBackbone=ViT-B/16-IN1K, Exemplars=02024.1086.387.02——
ReplayBackbone=ViT-B/16-IN1K, Exemplars=10 per class2024.1085.5692.21——
EWC*Model=Vision Transformer (ViT-B/16)2026.0685.35———
CODA-PModel=Vision Transformer (ViT-B/16)2026.0685.31———
DualPromptBackbone=ViT-B/16-IN1K, Exemplars=02024.1084.5387.27——
DualPromptBuffer=0/class2026.0484.5387.27——
CODA-PScenario=Domain Incremental Learning2025.1184.36—0.64—
CP-PromptBackbone=CLIP, Shots=8-shot2026.0684.0882.79——
L2PBackbone=ViT-B/16-IN1K, Exemplars=02024.1083.5787.87——
L2PBuffer=0/class2026.0483.5787.87——
S-iPromptsModel=Vision Transformer (ViT-B/16)2026.0683.5———
PGO-BEnBackbone=CLIP, Shots=1-shot2026.0683.1978.14——
LAEScenario=Domain Incremental Learning2025.1183.09—0.17—
CP-PromptBackbone=CLIP, Shots=4-shot2026.0682.2781.26——
S-iPromptBackbone=ViT-B/16-IN1K, Exemplars=02024.1081.9583.38——
S-iPromptBuffer=0/class2026.0481.9583.38——
CP-PromptBackbone=CLIP, Shots=2-shot2026.0681.6578.68——
DualPromptScenario=Domain Incremental Learning2025.1181.41—0.21—
L2PBuffer=50/class2026.0481.0782.72——
L2P*Backbone=CLIP, Shots=2-shot2026.0680.9479.55——
L2PScenario=Domain Incremental Learning2025.1180.72—0.51—
DualPromptModel=Vision Transformer (ViT-B/16)2026.0680.68———
L2P*Backbone=CLIP, Shots=1-shot2026.0680.1977.85——
S-PromptBackbone=CLIP, Shots=8-shot2026.0680.1378.77——
ERBuffer=50/class2026.0480.182.06——
DER++Buffer=50/class2026.0479.782.01——
S-PromptBackbone=CLIP, Shots=4-shot2026.0679.6377.26——
S-PromptBackbone=CLIP, Shots=2-shot2026.0679.5374.95——
L2P*Backbone=CLIP, Shots=4-shot2026.0679.4277.98——
BiCBuffer=50/class2026.0479.2880.97——
DyToxBuffer=50/class2026.0479.2181.23——
DyToxModel=Vision Transformer (ViT-B/16)2026.0679.21———
RanPACBackbone=ViT-B/16-IN1K, Exemplars=02024.1079.1681.38——
L2P*Backbone=CLIP, Shots=8-shot2026.067978.06——
L2PModel=Vision Transformer (ViT-B/16)2026.0678.45———
CP-PromptBackbone=CLIP, Shots=1-shot2026.0678.2877.23——
CoReBackbone=ViT-B/16-IN21K2026.0377.9559.91——
S-PromptBackbone=CLIP, Shots=1-shot2026.0677.6374.26——
ViTBackbone=ViT-B/16-IN21K2026.0377.5561.49——
AdapterBackbone=ViT-B/16-IN21K2026.0376.558.53——
SSFBackbone=ViT-B/16-IN21K2026.0376.4259.02——
PromptBackbone=ViT-B/16-IN21K2026.0376.257.2——
FinetuneBackbone=ViT-B/16-IN21K2026.0375.8658.22——
FinetuneBackbone=ViT-B/16-IN1K, Exemplars=02024.1075.4476.19——
LwFModel=Vision Transformer (ViT-B/16)2026.0675.35———
EWCModel=Vision Transformer (ViT-B/16)2026.0674.82———
iCaRLBackbone=ViT-B/16-IN1K, Exemplars=10 per class2024.1074.4379.86——
LwFScenario=Domain Incremental Learning2025.1174.35—0.81—
EWCScenario=Domain Incremental Learning2025.1173.86—1.09—
InfLORA*Backbone=CLIP, Shots=8-shot2026.0673.1266.1——
SimpleCILBackbone=ViT-B/16-IN1K, Exemplars=02024.1070.9274.8——
SimpleCILBuffer=0/class2026.0470.9274.8——
LwF*Backbone=CLIP, Shots=8-shot2026.0667.6263.24——
EwC*Backbone=CLIP, Shots=2-shot2026.0666.4758.11——
InfLORA*Backbone=CLIP, Shots=2-shot2026.0666.4757.69——
LwF*Backbone=CLIP, Shots=2-shot2026.0666.0357.48——
EwC*Backbone=CLIP, Shots=8-shot2026.0665.2257.62——
MEMOBackbone=ViT-B/16-IN1K, Exemplars=10 per class2024.1064.868.24——
LwF*Backbone=CLIP, Shots=4-shot2026.0664.6157.29——
InfLORA*Backbone=CLIP, Shots=4-shot2026.0663.958.27——
EwC*Backbone=CLIP, Shots=4-shot2026.0663.5554.8——
DualPrompt*Backbone=CLIP, Shots=8-shot2026.0660.7358.16——
CODA-PromptBackbone=CLIP, Shots=8-shot2026.0659.9747.89——
DualPrompt*Backbone=CLIP, Shots=2-shot2026.0659.5355.28——
LwF*Backbone=CLIP, Shots=1-shot2026.0659.452.99——
EwC*Backbone=CLIP, Shots=1-shot2026.0658.4351.89——
DualPrompt*Backbone=CLIP, Shots=4-shot2026.0658.3752.39——
CODA-PromptBackbone=CLIP, Shots=4-shot2026.0657.8744.95——
InfLORA*Backbone=CLIP, Shots=1-shot2026.0657.4450.36——