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Models/CEC

CEC

Reported on 8 benchmarks across 2 tasks · 1 paper · 8 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology8 results

Continual LearningonCIFAR-100
Average Accuracy· 2021-04-07
59.53
best: 88.08 (PriViLege)
SOTA
Few-Shot Incremental Learning with Continually Evolved Classifiers arXiv:2104.03047
Continual LearningonCIFAR-100
Last Accuracy· 2021-04-07
49.14
best: 86.06 (PriViLege)
SOTA
Few-Shot Incremental Learning with Continually Evolved Classifiers arXiv:2104.03047
Continual Learningonmini-Imagenet
Average Accuracy· 2021-04-07
57.74
best: 95.27 (PriViLege)
SOTA
Few-Shot Incremental Learning with Continually Evolved Classifiers arXiv:2104.03047
Continual Learningonmini-Imagenet
Last Accuracy · 2021-04-07
47.63
best: 96.24 (CoACT)
SOTA
Few-Shot Incremental Learning with Continually Evolved Classifiers arXiv:2104.03047
Class Incremental LearningonCIFAR-100
Average Accuracy· 2021-04-07
59.53
best: 88.08 (PriViLege)
SOTA
Few-Shot Incremental Learning with Continually Evolved Classifiers arXiv:2104.03047
Class Incremental LearningonCIFAR-100
Last Accuracy· 2021-04-07
49.14
best: 86.06 (PriViLege)
SOTA
Few-Shot Incremental Learning with Continually Evolved Classifiers arXiv:2104.03047
Class Incremental Learningonmini-Imagenet
Average Accuracy· 2021-04-07
57.74
best: 95.27 (PriViLege)
SOTA
Few-Shot Incremental Learning with Continually Evolved Classifiers arXiv:2104.03047
Class Incremental Learningonmini-Imagenet
Last Accuracy · 2021-04-07
47.63
best: 96.24 (CoACT)
SOTA
Few-Shot Incremental Learning with Continually Evolved Classifiers arXiv:2104.03047