SOTAVerified

Class Incremental Learning

Papers

Showing 571580 of 634 papers

TitleStatusHype
DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning0
eCIL-MU: Embedding based Class Incremental Learning and Machine Unlearning0
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches0
Effective Decision Boundary Learning for Class Incremental Learning0
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning0
Efficient Federated Class-Incremental Learning of Pre-Trained Models via Task-agnostic Low-rank Residual Adaptation0
Adversarial Incremental Learning0
Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis0
Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory0
Elephant Neural Networks: Born to Be a Continual Learner0
Show:102550
← PrevPage 58 of 64Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1S&B10-stage average accuracy68.18Unverified
2SCR10-stage average accuracy65.98Unverified
3iCaRL10-stage average accuracy63.24Unverified
4LUCIR10-stage average accuracy56.53Unverified
5ABD10-stage average accuracy54.44Unverified
6EWC10-stage average accuracy50.53Unverified
7EMR10-stage average accuracy48.66Unverified
8A-GEM10-stage average accuracy45.76Unverified
#ModelMetricClaimedVerifiedStatus
1PPCA-SWSLFinal Accuracy77.07Unverified
2PPCA-CLIPFinal Accuracy69.71Unverified
#ModelMetricClaimedVerifiedStatus
1PPCA-SWSLFinal Accuracy77.07Unverified
2PPCA-CLIPFinal Accuracy69.71Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy61.7Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy56.2Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy42.6Unverified