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Class-Incremental Learning on CIFAR-100 (5 and 10 task evaluation)

94.5Average AccuracySoTU
63.362471.446279.5387.6138Mar 31, 2021Feb 5, 2022Dec 14, 2022Oct 21, 2023Aug 28, 2024Jul 5, 2025May 13, 2026

Evaluation results

MethodLinks
SoTUBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=102024.1194.5——91.2—
RanPACBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=102024.1194——90.8—
HiDe-PromptBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=102024.1192.8——90.6—
RanPACNumber of tasks (T)=52023.0792.4————
RanPACNumber of tasks (T)=102023.0792.2————
FOSTERBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=10, Examples per class=202024.1191.8——87.8—
CODA-PromptBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=102024.1191.3——86.9—
EASEOptimization Protocol=FO Optimization2025.1091.13——85.457.05
RanPACNumber of tasks (T)=202023.0790.8————
MoPMemory=false2025.1290.13——84.43—
ESNBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=102024.1190.1——86.1—
ADAM (Ada)Backbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=10, variant=Ada2024.1190——85.8—
iCaRLBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=10, Examples per class=202024.1189.7——79.3—
Lang-CLMemory=false2025.1289.44——83.84—
InfLoRAOptimization Protocol=FO Optimization2025.1089.41——82.896.95
L2PBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=102024.1189.3——84.4—
RanPACPhase Configuration=No Phase 12023.0789————
DERBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=10, Examples per class=202024.1188.8——79.8—
NCMNumber of tasks (T)=52023.0788.6————
SPAIncremental Protocol=B0 Inc102026.0588.53——81.81—
AdaMNumber of tasks (T)=52023.0788.5————
Adapter + Cls.Optimization Protocol=FO Optimization2025.1088.41——83.649.58
ZO-FCOptimization Protocol=ZO Optimization2025.1088.39——83.345.26
LAE AdapterOptimization Protocol=FO Optimization2025.1088.05——82.318.35
APER AdapterOptimization Protocol=FO Optimization2025.1087.9——81.686.01
NCMNumber of tasks (T)=102023.0787.8————
APER AdapterOptimization Protocol=ZO Optimization2025.1087.7——81.496.07
CODA-PromptOptimization Protocol=FO Optimization2025.1087.58——80.67.04
SimpleCILOptimization Protocol=Classifier Only2025.1087.57——81.266.11
AdaMNumber of tasks (T)=102023.0787.5————
DualPromptBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=102024.1187.4——82.4—
SLCAMemory=false2025.1287.35——80.26—
EASEOptimization Protocol=ZO Optimization2025.1087.32——81.076.87
MEMOBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=10, Examples per class=202024.1187.1——77.2—
L2PNumber of tasks (T)=52023.0787————
DualPromptNumber of tasks (T)=52023.0786.9————
PROOFIncremental Protocol=B0 Inc102026.0586.77——79.11—
NCMNumber of tasks (T)=202023.0786.6————
CLG-CBMIncremental Protocol=B0 Inc102026.0586.58——80.15—
RAPFIncremental Protocol=B0 Inc102026.0586.14——78.04—
BOFAIncremental Protocol=B0 Inc102026.0586.07——79.19—
Learnable Cls.Optimization Protocol=FO Optimization2025.1085.61——78.335.17
DualPromptMemory=false2025.1285.31——77.07—
EASEMemory=false2025.1285.27——80.7—
MoE-AdaptersMemory=false2025.1285.27——78.13—
AdaMNumber of tasks (T)=202023.0785.2————
L2POptimization Protocol=FO Optimization2025.1085.05——78.599.09
SPAIncremental Protocol=B50 Inc102026.0585.01——81.6—
CODA-PromptMemory=false2025.1284.65——76.37—
L2PNumber of tasks (T)=102023.0784.6————
PROOFMemory=true2025.1284.21——76.59—
L2PMemory=false2025.1284.16——76.13—
SimpleCILIncremental Protocol=B0 Inc102026.0584.15——76.63—
DualPromptNumber of tasks (T)=102023.0784.1————
ADAM (SSF)Backbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=10, variant=SSF2024.1183.9——89.5—
CLG-CBMIncremental Protocol=B50 Inc102026.0583.59——79.28—
PR-CLIPMemory=true2025.1283.46——76.13—
NCMPhase Configuration=No Phase 12023.0783.4————
PROOFIncremental Protocol=B50 Inc102026.0583.32——79.73—
BOFAIncremental Protocol=B50 Inc102026.0583.02——79.44—
L2PIncremental Protocol=B0 Inc102026.0582.74——73.03—
CODA-PromptIncremental Protocol=B0 Inc102026.0582.43——73.43—
SimpleCILBackbone=ViT-B/16, Pre-training=ImageNet21K, Tasks=102024.1182.2——76.2—
RAPFIncremental Protocol=B50 Inc102026.0582.17——77.93—
ZS-CLIPIncremental Protocol=B0 Inc102026.0581.81——71.38—
DualPromptIncremental Protocol=B0 Inc102026.0581.63——72.44—
DualPromptNumber of tasks (T)=202023.0781.2————
L2PIncremental Protocol=B50 Inc102026.0581.14——73.61—
SimpleCILIncremental Protocol=B50 Inc102026.0580.2——76.63—
DualPromptIncremental Protocol=B50 Inc102026.0580.12——72.57—
L2PNumber of tasks (T)=202023.0779.9————
Adapter + Cls.Optimization Protocol=ZO Optimization2025.1079.45——70.468.72
AttriCLIPMemory=false2025.1279.39——68.35—
TagFex w/ CPNSScenario=10-102026.0379.16——69.54—
TagFex-P w/ CPNSScenario=10-102026.0379.04——68.36—
CODA-PromptIncremental Protocol=B50 Inc102026.0578.69——71.58—
TagFexScenario=10-102026.0378.45——68.23—
TagFex-PScenario=10-102026.0378.02——67.34—
DER w/ CPNSScenario=10-102026.0376.93——66.21—
ZS-CLIPIncremental Protocol=B50 Inc102026.0576.49——71.38—
FOSTER w/ CPNSScenario=10-102026.0375.48——64.25—
DERScenario=10-102026.0375.36——64.35—
FOSTERScenario=10-102026.0374.49——62.2—
DER (without pruning)Backbone=modified 32-layer ResNet, #Paras=1.38M2021.0373————
DERBackbone=modified 32-layer ResNet, #Paras=0.42M2021.0372.31————
WABackbone=modified 32-layer ResNet, #Paras=0.46M2021.0370————
BiCBackbone=modified 32-layer ResNet, #Paras=0.46M2021.0368.92————
POD-AANets w/ RMMNumber of Phases (N)=5, Memory Budget=Strict (Bounded)2023.0168.86————
LUCIR-AANets w/ RMMNumber of Phases (N)=5, Memory Budget=Strict (Bounded)2023.0168.42————
POD-AANets w/ RMMNumber of Phases (N)=10, Memory Budget=Strict (Bounded)2023.0167.61————
iCaRLBackbone=modified 32-layer ResNet, #Paras=0.46M2021.0367.2————
LUCIR-AANets w/ RMMNumber of Phases (N)=10, Memory Budget=Strict (Bounded)2023.0167.17————
LUCIR-AANetsNumber of Phases (N)=5, Memory Budget=Strict (Bounded)2023.0166.88————
POD-AANetsNumber of Phases (N)=5, Memory Budget=Strict (Bounded)2023.0166.61————
POD-AANets w/ RMMNumber of Phases (N)=25, Memory Budget=Strict (Bounded)2023.0166.21————
LUCIR-AANetsNumber of Phases (N)=10, Memory Budget=Strict (Bounded)2023.0165.53————
POD-AANetsNumber of Phases (N)=10, Memory Budget=Strict (Bounded)2023.0164.61————
PODNetNumber of Phases (N)=5, Memory Budget=Strict (Bounded)2023.0164.6————
MnemonicsNumber of Phases (N)=5, Memory Budget=Strict (Bounded)2023.0164.59————
LUCIR-AANets w/ RMMNumber of Phases (N)=25, Memory Budget=Strict (Bounded)2023.0164.56————