SOTAVerified

Class Incremental Learning

Papers

Showing 201210 of 634 papers

TitleStatusHype
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning0
Continual learning via probabilistic exchangeable sequence modelling0
IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware PromptingCode0
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning0
Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning0
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning0
Technical Report for the 5th CLVision Challenge at CVPR: Addressing the Class-Incremental with Repetition using Unlabeled Data -- 4th Place SolutionCode0
Robust3D-CIL: Robust Class-Incremental Learning for 3D Perception0
An experimental approach on Few Shot Class Incremental Learning0
A New Benchmark for Few-Shot Class-Incremental Learning: Redefining the Upper Bound0
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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