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CIFAR-100 - 50 classes + 10 steps of 5 classes
Incremental Learning on CIFAR-100 - 50 classes + 10 steps of 5 classes
Metric: Average Incremental Accuracy (higher is better)
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Model name (A→Z)
#
Model
↕
Average Incremental Accuracy
▼
Augmentations
Paper
Date
↕
Code
1
TCIL
73.72
No
Resolving Task Confusion in Dynamic Expansion Ar...
2022-12-29
Code
2
TCIL-Lite
73.5
No
Resolving Task Confusion in Dynamic Expansion Ar...
2022-12-29
Code
3
DER(Standard ResNet-18)
72.45
No
DER: Dynamically Expandable Representation for C...
2021-03-31
Code
4
D3Former
70.94
No
D3Former: Debiased Dual Distilled Transformer fo...
2022-07-25
Code
5
FOSTER
67.95
No
FOSTER: Feature Boosting and Compression for Cla...
2022-04-10
Code
6
RMM (Modified ResNet-32)
67.61
No
RMM: Reinforced Memory Management for Class-Incr...
2023-01-14
Code
7
DER(Modified ResNet-32)
66.36
No
DER: Dynamically Expandable Representation for C...
2021-03-31
Code
8
CCIL-SD
65.86
No
Essentials for Class Incremental Learning
2021-02-18
Code
9
PODNet (CNN)
63.19
No
PODNet: Pooled Outputs Distillation for Small-Ta...
2020-04-28
Code
10
UCIR (CNN)*
60.18
No
-
-
Code
11
UCIR (NME)*
60.12
No
-
-
Code
12
BiC
53.21
No
Large Scale Incremental Learning
2019-05-30
Code
13
iCaRL*
52.57
No
iCaRL: Incremental Classifier and Representation...
2016-11-23
Code
#1
TCIL
SOTA
73.72
Average Incremental Accuracy
· 2022-12-29
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning
Code
#2
TCIL-Lite
73.5
Average Incremental Accuracy
· 2022-12-29
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning
Code
#3
DER(Standard ResNet-18)
SOTA
72.45
Average Incremental Accuracy
· 2021-03-31
DER: Dynamically Expandable Representation for Class Incremental Learning
Code
#4
D3Former
70.94
Average Incremental Accuracy
· 2022-07-25
D3Former: Debiased Dual Distilled Transformer for Incremental Learning
Code
#5
FOSTER
67.95
Average Incremental Accuracy
· 2022-04-10
FOSTER: Feature Boosting and Compression for Class-Incremental Learning
Code
#6
RMM (Modified ResNet-32)
67.61
Average Incremental Accuracy
· 2023-01-14
RMM: Reinforced Memory Management for Class-Incremental Learning
Code
#7
DER(Modified ResNet-32)
66.36
Average Incremental Accuracy
· 2021-03-31
DER: Dynamically Expandable Representation for Class Incremental Learning
Code
#8
CCIL-SD
SOTA
65.86
Average Incremental Accuracy
· 2021-02-18
Essentials for Class Incremental Learning
Code
#9
PODNet (CNN)
SOTA
63.19
Average Incremental Accuracy
· 2020-04-28
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
Code
#10
UCIR (CNN)*
60.18
Average Incremental Accuracy
No paper
Code
#11
UCIR (NME)*
60.12
Average Incremental Accuracy
No paper
Code
#12
BiC
SOTA
53.21
Average Incremental Accuracy
· 2019-05-30
Large Scale Incremental Learning
Code
#13
iCaRL*
SOTA
52.57
Average Incremental Accuracy
· 2016-11-23
iCaRL: Incremental Classifier and Representation Learning
Code