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المنصة
الرئيسية
SOTA
التعلم التدريجي
Incremental Learning On Cifar 100 50 Classes 3
Incremental Learning On Cifar 100 50 Classes 3
المقاييس
Average Incremental Accuracy
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
Average Incremental Accuracy
Paper Title
TCIL
74.88
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning
TCIL-Lite
74.30
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning
DER(Standard ResNet-18)
72.60
DER: Dynamically Expandable Representation for Class Incremental Learning
D3Former
72.23
D3Former: Debiased Dual Distilled Transformer for Incremental Learning
FOSTER
69.46
FOSTER: Feature Boosting and Compression for Class-Incremental Learning
RMM (Modified ResNet-32)
68.86
RMM: Reinforced Memory Management for Class-Incremental Learning
DER(Modified Res-32)
67.60
DER: Dynamically Expandable Representation for Class Incremental Learning
CCIL-SD
67.17
Essentials for Class Incremental Learning
PODNet (CNN)
64.83
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
UCIR (CNN)*
63.42
Learning a Unified Classifier Incrementally via Rebalancing
UCIR (NME)*
63.12
Learning a Unified Classifier Incrementally via Rebalancing
iCaRL*
57.17
iCaRL: Incremental Classifier and Representation Learning
BiC
56.86
Large Scale Incremental Learning
PPCA-SWSL
-
Scalable Learning with Incremental Probabilistic PCA
PPCA-CLIP
-
Scalable Learning with Incremental Probabilistic PCA
0 of 15 row(s) selected.
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