SOTAVerified

Class Incremental Learning

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 634 papers

TitleStatusHype
GPS: Distilling Compact Memories via Grid-based Patch Sampling for Efficient Online Class-Incremental Learning—0
Adaptive Additive Parameter Updates of Vision Transformers for Few-Shot Continual Learning—0
CMIP-CIL: A Cross-Modal Benchmark for Image-Point Class Incremental LearningCode0
Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-TrainingCode1
LoRAX: LoRA eXpandable Networks for Continual Synthetic Image AttributionCode0
FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning—0
GOTHAM: Graph Class Incremental Learning Framework under Weak SupervisionCode0
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation—0
Diffusion Meets Few-shot Class Incremental Learning—0
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning—0
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning—0
IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware PromptingCode0
Continual learning via probabilistic exchangeable sequence modelling—0
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning—0
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning—0
Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning—0
Reducing Class-wise Confusion for Incremental Learning with Disentangled ManifoldsCode1
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 Perception—0
An experimental approach on Few Shot Class Incremental Learning—0
Generative Binary Memory: Pseudo-Replay Class-Incremental Learning on Binarized Embeddings—0
A New Benchmark for Few-Shot Class-Incremental Learning: Redefining the Upper Bound—0
Singular Value Fine-tuning for Few-Shot Class-Incremental Learning—0
EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental LearningCode1
External Knowledge Injection for CLIP-Based Class-Incremental LearningCode2
Show:102550
← PrevPage 2 of 26Next →
All datasetscifar100CIFAR-100 - 50 classes + 10 steps of 5 classesCIFAR-100 - 50 classes + 5 steps of 10 classesCifar100-B0(10 tasks)-no-exemplarsCifar100-B0(20 tasks)-no-exemplarsCIFAR100-B0(50 tasks)-no-exemplars

Benchmark Results

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