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CIFAR-100 - 50 classes + 5 steps of 10 classes
Incremental Learning on CIFAR-100 - 50 classes + 5 steps of 10 classes
Metric: Average Incremental Accuracy (higher is better)
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#
Model
↕
Average Incremental Accuracy
▼
Augmentations
Paper
Date
↕
Code
1
TCIL
74.88
No
Resolving Task Confusion in Dynamic Expansion Ar...
2022-12-29
Code
2
TCIL-Lite
74.3
No
Resolving Task Confusion in Dynamic Expansion Ar...
2022-12-29
Code
3
DER(Standard ResNet-18)
72.6
No
DER: Dynamically Expandable Representation for C...
2021-03-31
Code
4
D3Former
72.23
No
D3Former: Debiased Dual Distilled Transformer fo...
2022-07-25
Code
5
FOSTER
69.46
No
FOSTER: Feature Boosting and Compression for Cla...
2022-04-10
Code
6
RMM (Modified ResNet-32)
68.86
No
RMM: Reinforced Memory Management for Class-Incr...
2023-01-14
Code
7
DER(Modified Res-32)
67.6
No
DER: Dynamically Expandable Representation for C...
2021-03-31
Code
8
CCIL-SD
67.17
No
Essentials for Class Incremental Learning
2021-02-18
Code
9
PODNet (CNN)
64.83
No
PODNet: Pooled Outputs Distillation for Small-Ta...
2020-04-28
Code
10
UCIR (CNN)*
63.42
No
-
-
Code
11
UCIR (NME)*
63.12
No
-
-
Code
12
iCaRL*
57.17
No
iCaRL: Incremental Classifier and Representation...
2016-11-23
Code
13
BiC
56.86
No
Large Scale Incremental Learning
2019-05-30
Code