SOTAVerified

Class Incremental Learning

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 634 papers

TitleStatusHype
Class incremental learning for video action classification—0
Dual-Enhanced Coreset Selection with Class-wise Collaboration for Online Blurry Class Incremental Learning—0
Dual Embodied-Symbolic Concept Representations for Deep Learning—0
Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual Learning—0
DSS: A Diverse Sample Selection Method to Preserve Knowledge in Class-Incremental Learning—0
Class-Incremental Learning for Sound Event Localization and Detection—0
A Bag of Tricks for Few-Shot Class-Incremental Learning—0
Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory—0
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning—0
Class-Incremental Learning for Multi-Label Audio Classification—0
DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning—0
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches—0
Class-Incremental Learning for Honey Botanical Origin Classification with Hyperspectral Images: A Study with Continual Backpropagation—0
Dual-Consistency Model Inversion for Non-Exemplar Class Incremental Learning—0
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks—0
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data—0
DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning—0
Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay—0
A Novel Progressive Multi-label Classifier for Classincremental Data—0
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning—0
Dynamic Prompt Adjustment for Multi-Label Class-Incremental Learning—0
Class-Incremental Learning of Plant and Disease Detection: Growing Branches with Knowledge Distillation—0
DILF-EN framework for Class-Incremental Learning—0
Diffusion Meets Few-shot Class Incremental Learning—0
Class-Incremental Learning for Action Recognition in Videos—0
Few Shot Class Incremental Learning using Vision-Language models—0
DiffClass: Diffusion-Based Class Incremental Learning—0
Effective Decision Boundary Learning for Class Incremental Learning—0
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning—0
Efficient Federated Class-Incremental Learning of Pre-Trained Models via Task-agnostic Low-rank Residual Adaptation—0
Diagnosing Batch Normalization in Class Incremental Learning—0
Detecting Unknown DGAs without Context Information—0
Detachedly Learn a Classifier for Class-Incremental Learning—0
An experimental approach on Few Shot Class Incremental Learning—0
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning—0
Endpoints Weight Fusion for Class Incremental Semantic Segmentation—0
A New Benchmark for Few-Shot Class-Incremental Learning: Redefining the Upper Bound—0
Dense Network Expansion for Class Incremental Learning—0
Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning—0
Few-shot Class-incremental Learning for Cross-domain Disease Classification—0
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning—0
Defying Imbalanced Forgetting in Class Incremental Learning—0
An Efficient Replay for Class-Incremental Learning with Pre-trained Models—0
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse—0
Enhancing Visual Continual Learning with Language-Guided Supervision—0
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning—0
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation—0
Evaluating Pretrained models for Deployable Lifelong Learning—0
Evidential Deep Learning for Class-Incremental Semantic Segmentation—0
Few-Shot Class-Incremental Learning for Named Entity Recognition—0
Show:102550
← PrevPage 5 of 13Next →
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