SOTAVerified

Class Incremental Learning

Papers

Showing 251275 of 634 papers

TitleStatusHype
Adaptive Adapter Routing for Long-Tailed Class-Incremental LearningCode0
ICICLE: Interpretable Class Incremental Continual LearningCode0
Overcoming Catastrophic Forgetting with Unlabeled Data in the WildCode0
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class ClassifiersCode0
Constructing Sample-to-Class Graph for Few-Shot Class-Incremental LearningCode0
Helpful or Harmful: Inter-Task Association in Continual LearningCode0
IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware PromptingCode0
ConSense: Continually Sensing Human Activity with WiFi via Growing and PickingCode0
GOTHAM: Graph Class Incremental Learning Framework under Weak SupervisionCode0
Knowledge Transfer-Driven Few-Shot Class-Incremental LearningCode0
Compositional Few-Shot Class-Incremental LearningCode0
Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free AdaptorCode0
FTF-ER: Feature-Topology Fusion-Based Experience Replay Method for Continual Graph LearningCode0
Coarse-To-Fine Incremental Few-Shot LearningCode0
CMIP-CIL: A Cross-Modal Benchmark for Image-Point Class Incremental LearningCode0
Dealing with Cross-Task Class Discrimination in Online Continual LearningCode0
FOCIL: Finetune-and-Freeze for Online Class Incremental Learning by Training Randomly Pruned Sparse ExpertsCode0
Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental LearningCode0
Few-shot Tuning of Foundation Models for Class-incremental LearningCode0
A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill RecognitionCode0
Feature Expansion and enhanced Compression for Class Incremental LearningCode0
Few-Shot Class-Incremental Learning with Prior KnowledgeCode0
Extending Pretrained Segmentation Networks with Additional Anatomical StructuresCode0
Exploring the Open World Using Incremental Extreme Value MachinesCode0
An Investigation of the Combination of Rehearsal and Knowledge Distillation in Continual Learning for Spoken Language UnderstandingCode0
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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