SOTAVerified

Incremental Learning

Incremental learning aims to develop artificially intelligent systems that can continuously learn to address new tasks from new data while preserving knowledge learned from previously learned tasks.

Papers

Showing 251–300 of 1371 papers

TitleStatusHype
On the Exploration of Incremental Learning for Fine-grained Image RetrievalCode1
Lambda Learner: Fast Incremental Learning on Data StreamsCode1
Adaptive Aggregation Networks for Class-Incremental LearningCode1
Continual Prototype Evolution: Learning Online from Non-Stationary Data StreamsCode1
RODEO: Replay for Online Object DetectionCode1
Brain-inspired replay for continual learning with artificial neural networksCode1
GloDyNE: Global Topology Preserving Dynamic Network EmbeddingCode1
More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental LearningCode1
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task InterferenceCode1
SERIL: Noise Adaptive Speech Enhancement using Regularization-based Incremental LearningCode1
Visual Memorability for Robotic Interestingness via Unsupervised Online LearningCode1
Large Scale Font Independent Urdu Text Recognition SystemCode1
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old LabelsCode1
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental LearningCode1
Few-Shot Class-Incremental LearningCode1
Generative Feature Replay For Class-Incremental LearningCode1
Learning to Segment the TailCode1
Semantic Drift Compensation for Class-Incremental LearningCode1
Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open ProblemCode1
iTAML: An Incremental Task-Agnostic Meta-learning ApproachCode1
Incremental Object Detection via Meta-LearningCode1
FoCL: Feature-Oriented Continual Learning for Generative ModelsCode1
Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNNCode1
Mnemonics Training: Multi-Class Incremental Learning without ForgettingCode1
Modeling the Background for Incremental Learning in Semantic SegmentationCode1
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch NormalizationCode1
Side-Tuning: A Baseline for Network Adaptation via Additive Side NetworksCode1
Maintaining Discrimination and Fairness in Class Incremental LearningCode1
Compacting, Picking and Growing for Unforgetting Continual LearningCode1
Incremental learning for the detection and classification of GAN-generated imagesCode1
Incremental Learning Techniques for Semantic SegmentationCode1
End-to-End Incremental LearningCode1
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial AttacksCode1
Incremental Learning of Object Detectors without Catastrophic ForgettingCode1
Overcoming catastrophic forgetting in neural networksCode1
iCaRL: Incremental Classifier and Representation LearningCode1
The Bayesian Approach to Continual Learning: An Overview—0
Balancing the Past and Present: A Coordinated Replay Framework for Federated Class-Incremental Learning—0
Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative ExpertsCode0
DuET: Dual Incremental Object Detection via Exemplar-Free Task Arithmetic—0
Class-Incremental Learning for Honey Botanical Origin Classification with Hyperspectral Images: A Study with Continual Backpropagation—0
Hyperbolic Dual Feature Augmentation for Open-Environment—0
L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental LearningCode0
Buffer-free Class-Incremental Learning with Out-of-Distribution Detection—0
Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You NeedCode0
Few-Shot Class-Incremental Learning For Efficient SAR Automatic Target Recognition—0
Improving Ad matching via Cluster-Adaptive Keyword Expansion and Relevance tuning—0
Large Language Models in the Task of Automatic Validation of Text Classifier Predictions—0
Teaching with Lies: Curriculum DPO on Synthetic Negatives for Hallucination Detection—0
Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing ModalitiesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PPCA-SWSLFinal Accuracy77.07—Unverified
2TCILAverage Incremental Accuracy74.88—Unverified
3TCIL-LiteAverage Incremental Accuracy74.3—Unverified
4DER(Standard ResNet-18)Average Incremental Accuracy72.6—Unverified
5D3FormerAverage Incremental Accuracy72.23—Unverified
6PPCA-CLIPFinal Accuracy69.71—Unverified
7FOSTERAverage Incremental Accuracy69.46—Unverified
8RMM (Modified ResNet-32)Average Incremental Accuracy68.86—Unverified
9DER(Modified Res-32)Average Incremental Accuracy67.6—Unverified
10CCIL-SDAverage Incremental Accuracy67.17—Unverified
#ModelMetricClaimedVerifiedStatus
1TCILAverage Incremental Accuracy73.72—Unverified
2TCIL-LiteAverage Incremental Accuracy73.5—Unverified
3DER(Standard ResNet-18)Average Incremental Accuracy72.45—Unverified
4D3FormerAverage Incremental Accuracy70.94—Unverified
5FOSTERAverage Incremental Accuracy67.95—Unverified
6RMM (Modified ResNet-32)Average Incremental Accuracy67.61—Unverified
7DER(Modified ResNet-32)Average Incremental Accuracy66.36—Unverified
8CCIL-SDAverage Incremental Accuracy65.86—Unverified
9PODNet (CNN)Average Incremental Accuracy63.19—Unverified
10UCIR (CNN)*Average Incremental Accuracy60.18—Unverified
#ModelMetricClaimedVerifiedStatus
1WAAverage Incremental Accuracy Top-591—Unverified
2BiCAverage Incremental Accuracy Top-590.6—Unverified
3E2EAverage Incremental Accuracy Top-589.92—Unverified
4RPSNetAverage Incremental Accuracy Top-587.9—Unverified
5kNN-CLIPAverage Incremental Accuracy85.1—Unverified
6iCaRLAverage Incremental Accuracy Top-583.6—Unverified
7RMM (ResNet-18)Average Incremental Accuracy78.47—Unverified
8FOSTERAverage Incremental Accuracy77.75—Unverified
9TCILAverage Incremental Accuracy77.66—Unverified
10TCIL-LiteAverage Incremental Accuracy77.5—Unverified
#ModelMetricClaimedVerifiedStatus
1View-Batch(TCIL)Average Incremental Accuracy79.23—Unverified
2TCILAverage Incremental Accuracy77.72—Unverified
3TCIL-LiteAverage Incremental Accuracy76.96—Unverified
4DER(w/o P)Average Incremental Accuracy76.8—Unverified
5BiCAverage Incremental Accuracy73.1—Unverified
6WAAverage Incremental Accuracy72.81—Unverified
7iCaRLAverage Incremental Accuracy71.14—Unverified
8RPSNetAverage Incremental Accuracy70.5—Unverified
9PODNetAverage Incremental Accuracy66.7—Unverified
10UCIRAverage Incremental Accuracy62.77—Unverified
#ModelMetricClaimedVerifiedStatus
1kNN-CLIPAverage Incremental Accuracy85.5—Unverified
2BiCAverage Incremental Accuracy Top-584—Unverified
3E2EAverage Incremental Accuracy Top-572.09—Unverified
4DyToxAverage Incremental Accuracy71.29—Unverified
5DER w/o PruningAverage Incremental Accuracy68.84—Unverified
6FOSTERAverage Incremental Accuracy68.34—Unverified
7RMM (ResNet-18)Average Incremental Accuracy67.45—Unverified
8DERAverage Incremental Accuracy66.73—Unverified
9WAAverage Incremental Accuracy65.67—Unverified
10iCaRLAverage Incremental Accuracy38.4—Unverified
#ModelMetricClaimedVerifiedStatus
1View-Batch(DER)Average Incremental Accuracy78.12—Unverified
2TCILAverage Incremental Accuracy77.3—Unverified
3TCIL-LiteAverage Incremental Accuracy76.74—Unverified
4DER(ResNet-18)Average Incremental Accuracy74.64—Unverified
5FOSTERAverage Incremental Accuracy72.9—Unverified
6CoilAverage Incremental Accuracy65.48—Unverified
#ModelMetricClaimedVerifiedStatus
1D3FormerAverage Incremental Accuracy68.68—Unverified
2RMM (Modified ResNet-32)Average Incremental Accuracy66.21—Unverified
3FOSTERAverage Incremental Accuracy63.83—Unverified
4PODNetAverage Incremental Accuracy60.72—Unverified
5BiCAverage Incremental Accuracy48.96—Unverified
#ModelMetricClaimedVerifiedStatus
1View-Batch(DER)Average Incremental Accuracy76.95—Unverified
2TCIL-LiteAverage Incremental Accuracy75.47—Unverified
3TCILAverage Incremental Accuracy75.11—Unverified
4DER(ResNet-18)Average Incremental Accuracy73.98—Unverified
5FOSTERAverage Incremental Accuracy70.65—Unverified
#ModelMetricClaimedVerifiedStatus
1RMM (ResNet-18)Average Incremental Accuracy78.47—Unverified
2DERAverage Incremental Accuracy77.73—Unverified
3FOSTERAverage Incremental Accuracy77.54—Unverified
4CCIL-SDAverage Incremental Accuracy76.77—Unverified
5PODNetAverage Incremental Accuracy73.14—Unverified
#ModelMetricClaimedVerifiedStatus
1FOSTERAverage Incremental Accuracy80.22—Unverified
2RMM (ResNet-18)Average Incremental Accuracy79.52—Unverified
3CCIL-SDAverage Incremental Accuracy79.44—Unverified
4PODNetAverage Incremental Accuracy75.82—Unverified
5iCaRL*Average Incremental Accuracy65.56—Unverified
#ModelMetricClaimedVerifiedStatus
1TCILAverage Incremental Accuracy76.42—Unverified
2TCIL-LiteAverage Incremental Accuracy74.95—Unverified
3DER (w/o P)Average Incremental Accuracy74.61—Unverified
4iCaRLAverage Incremental Accuracy71.33—Unverified
#ModelMetricClaimedVerifiedStatus
1PPCA-CLIPFinal Accuracy71.25—Unverified
2RMM (ResNet-18)Average Incremental Accuracy67.45—Unverified
3PODNetAverage Incremental Accuracy64.13—Unverified
4UCIR (NME)*Average Incremental Accuracy59.92—Unverified
#ModelMetricClaimedVerifiedStatus
1PPCA-CLIPFinal Accuracy71.25—Unverified
2RMM (ResNet-18)Average Incremental Accuracy69.21—Unverified
3CCIL-SDAverage Incremental Accuracy68.04—Unverified
4PODNetAverage Incremental Accuracy66.95—Unverified
#ModelMetricClaimedVerifiedStatus
1RMM (ResNet-18)Average Incremental Accuracy76.54—Unverified
2FOSTERAverage Incremental Accuracy69.34—Unverified
3PODNetAverage Incremental Accuracy67.28—Unverified
#ModelMetricClaimedVerifiedStatus
1PODNetAverage Incremental Accuracy57.98—Unverified
2BiCAverage Incremental Accuracy47.09—Unverified
#ModelMetricClaimedVerifiedStatus
1PODNetAverage Incremental Accuracy62.08—Unverified
2BiCAverage Incremental Accuracy46.49—Unverified
#ModelMetricClaimedVerifiedStatus
1FeTrILAverage Incremental Accuracy59.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DER(ResNet-18)Average Incremental Accuracy72.05—Unverified
#ModelMetricClaimedVerifiedStatus
1FOSTERAverage Incremental Accuracy74.49—Unverified
#ModelMetricClaimedVerifiedStatus
1PPCA-CLIPFinal Accuracy35.42—Unverified
#ModelMetricClaimedVerifiedStatus
1RMM (ResNet-18)Average Incremental Accuracy63.93—Unverified