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Continual Learning on CIFAR-100

92.4AccuracyDVC
9.230.852.474Nov 20, 2023Dec 11, 2023Jan 1, 2024Jan 23, 2024Feb 13, 2024Mar 5, 2024Mar 27, 2024

Evaluation results

MethodLinks
DVCReplay=true, Backbone=ViT, Pre-trained=true2024.0392.4—8.2——
SCRReplay=true, Backbone=ViT, Pre-trained=true2024.0391.9—6.2——
iCaRLReplay=true, Backbone=ViT, Pre-trained=true2024.0391.6—3.2——
EASEReplay=false, Backbone=ViT, Pre-trained=true2024.0391.1—6.1——
F-OALReplay=false, Backbone=ViT, Pre-trained=true2024.0391.1—5.5——
SLCAReplay=false, Backbone=ViT, Pre-trained=true2024.0390.4—7.1——
ERReplay=true, Backbone=ViT, Pre-trained=true2024.0390.1—20.7——
PCRReplay=true, Backbone=ViT, Pre-trained=true2024.0389.1—9.2——
ASERReplay=true, Backbone=ViT, Pre-trained=true2024.0387.2—16.5——
SEMAType=Expandable Param Size, Params (M)=0.6452024.0386.98————
CODA-PType=Expandable Param Size, Params (M)=3.9172024.0386.11————
ANCLScenario=Clean2023.1181.5-0.1———
DualPromptType=Expandable Param Size, Params (M)=1.0222024.0380.43————
ANCLepsilon=0.1, Scenario=Uniform2023.1180.4-0.2———
LAEReplay=false, Backbone=ViT, Pre-trained=true2024.0379.1—11.8——
L2PType=Fixed Param Size, Params (M)=0.1232024.0377.87————
RWALKScenario=Clean2023.1170.1-6———
LwFReplay=false, Backbone=ViT, Pre-trained=true2024.0369.3—1.3——
ANCLepsilon=0.3, Scenario=Uniform2023.1168.5-3.6———
RWALKepsilon=0.1, Scenario=Uniform2023.1168.5-5.1———
EWCScenario=Clean2023.1168.3-5.2———
MASepsilon=0.1, Scenario=Uniform2023.1167.7-1.8———
MASepsilon=0.3, Scenario=Uniform2023.1167.5-9.6———
EWCepsilon=0.1, Scenario=Uniform2023.1167-5.1———
AFECScenario=Clean2023.1165.6-2.9———
ANCLepsilon=0.1, Scenario=Reckless (BrainWash)2023.1164.9-4.4———
AFECepsilon=0.1, Scenario=Uniform2023.1164.1-3.6———
RWALKepsilon=0.1, Scenario=Reckless (BrainWash)2023.1162.8-14.5———
MASScenario=Clean2023.1162.6-1.8———
ANCLepsilon=0.1, Scenario=Cautious (BrainWash)2023.1161.7-0.9———
MASepsilon=0.1, Scenario=Cautious (BrainWash)2023.1161.4-5.8———
EWCepsilon=0.1, Scenario=Cautious (BrainWash)2023.1158.8-9.5———
EWCepsilon=0.3, Scenario=Uniform2023.1157.5-12.2———
AFECepsilon=0.1, Scenario=Cautious (BrainWash)2023.1157.2-7.9———
RWALKepsilon=0.1, Scenario=Cautious (BrainWash)2023.1155.8-16.3———
AFECepsilon=0.1, Scenario=Reckless (BrainWash)2023.1155.4-8.8———
ANCLepsilon=0.3, Scenario=Cautious (BrainWash)2023.1153.8-6.2———
MASepsilon=0.1, Scenario=Reckless (BrainWash)2023.1153.7-6.4———
RWALKepsilon=0.3, Scenario=Reckless (BrainWash)2023.1153.5-21.6———
AFECepsilon=0.3, Scenario=Uniform2023.1152.4-14.4———
EWCepsilon=0.1, Scenario=Reckless (BrainWash)2023.1151-12.6———
MASepsilon=0.3, Scenario=Cautious (BrainWash)2023.1150.7-22.8———
EWCReplay=false, Backbone=ViT, Pre-trained=true2024.0349.9—67.4——
AFECepsilon=0.3, Scenario=Cautious (BrainWash)2023.1149-24.2———
RWALKepsilon=0.3, Scenario=Uniform2023.1148.8-25.5———
RWALKepsilon=0.3, Scenario=Cautious (BrainWash)2023.1147-32.5———
MASepsilon=0.3, Scenario=Reckless (BrainWash)2023.1145-17.9———
ANCLepsilon=0.3, Scenario=Reckless (BrainWash)2023.1144.3-30.4———
EWCepsilon=0.3, Scenario=Cautious (BrainWash)2023.1142.2-24.7———
AFECepsilon=0.3, Scenario=Reckless (BrainWash)2023.1136.9-24.6———
RanDumbrehearsal-free=true2024.0228.6————
EWCepsilon=0.3, Scenario=Reckless (BrainWash)2023.1125.5-29.1———
PredKDrehearsal-free=true2024.0224.6————
PredKD + EWCrehearsal-free=true2024.0223.3————
PredKD + L2rehearsal-free=true2024.0221.5————
PredKD + FeatKDrehearsal-free=true2024.0212.4————
ACMapNumber of tasks (T)=10, Setting=Long-tailed step-imbalance2026.03———87.1180.5
Aper-adapterNumber of tasks (T)=10, Setting=Long-tailed step-imbalance2026.03———85.2478.91
AttriCLIP2024.03—-0.128———
CL-LoRANumber of tasks (T)=10, Setting=Long-tailed step-imbalance2026.03———86.0276.17
CLAP4CLIPbase_method=Continual-CLIP2024.03—-0.106———
CLAP4CLIPbase_method=CoOp2024.03—-0.129———
CLAP4CLIPbase_method=MaPLe2024.03—-0.105———
CLAP4CLIPbase_method=AttriCLIP2024.03—-0.143———
Continual-CLIP2024.03—-0.086———
CoOp2024.03—-0.257———
DualPromptBackbone=ViT-B/162025.10—-7.06—81.45—
EASEBackbone=ViT-B/162025.10—-4.66—87.63—
EASENumber of tasks (T)=10, Setting=Long-tailed step-imbalance2026.03———88.581.2
F-OALBackbone=ViT-B/162025.10—-4.9—87.04—
Fly-CLBackbone=ViT-B/162025.10—-3.82—89.85—
InfLoRABackbone=ViT-B/162025.10—-5.07—86.56—
InfLoRANumber of tasks (T)=10, Setting=Long-tailed step-imbalance2026.03———79.8171.69
L2PBackbone=ViT-B/162025.10—-6.23—83.55—
MaPLe2024.03—-0.209———
MoE-AdapterBackbone=ViT-B/162025.10—-4.97—86.88—
One-ANumber of tasks (T)=10, Setting=Long-tailed step-imbalance2026.03———86.6581.05
RanPACBackbone=ViT-B/162025.10—-3.47—90.83—
SEMABackbone=ViT-B/162025.10—-4.7—87.47—
SEMANumber of tasks (T)=10, Setting=Long-tailed step-imbalance2026.03———74.9864.41