类增量学习(Class-Incremental Learning)领域部分经典论文汇总

2022.03.08 正在逐步完善补充中

只简单找了一小部分

CVPR

[link] [code] [iCaRL] [17]
iCaRL: Incremental Classifier and Representation Learning
[link] [code] [BiC] [19]
Large Scale Incremental Learning
[link] [code] [LUCIR] [19]
Learning a Unified Classifier Incrementally via Rebalancing
[link] [code] [LwM] [19]
Learning Without Memorizing
[link] [code] [Mnemonics] [20]
Mnemonics Training: Multi-Class Incremental Learning Without Forgetting
[link] [code] [SDC] [20]
Semantic Drift Compensation for Class-Incremental Learning
[link] [code] [WA] [20]
Maintaining Discrimination and Fairness in Class Incremental Learning
[link] [code] [FSCIL] [20]
Few-Shot Class-Incremental Learning
[link] [code] [AANet] [21]
Adaptive Aggregation Networks for Class-Incremental Learning
[link] [code] [DDE] [21]
Distilling Causal Effect of Data in Class-Incremental Learning
[link] [code] [DER] [21]
DER: Dynamically Expandable Representation for Class Incremental Learning
[link] [code] [PASS] [21]
Prototype Augmentation and Self-Supervision for Incremental Learning
[link] [code] [SPPR] [21]
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning
[link] [code] [SAKD] [21]
Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning
[link] [code] [FCIL] [22]
Federated Class-Incremental Learning
[link] [code] [FACT] [22]
Forward Compatible Few-Shot Class-Incremental Learning
[link] [code] [NECIL] [22]
Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning
[link] [code] [SP] [22]
Class-Incremental Learning with Strong Pre-trained Models
[link] [code] [AFC] [22]
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation
[link] [code] [C-FSCIL] [22]
Constrained Few-shot Class-incremental Learning
[link] [code] [DIY-FSCIL] [22]
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches
[link] [code] [CwD] [22]
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning

ICCV

[link] [code] [IL2M] [19]
IL2M: Class Incremental Learning With Dual Memory
[link] [code] [SPB] [21]
Striking a Balance between Stability and Plasticity for Class-Incremental Learning
[link] [code] [DFCIL] [21]
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
[link] [code] [SS-IL] [21]
SS-IL: Separated Softmax for Incremental Learning

ECCV

[link] [code] [LwF] [16]
Learning without Forgetting
[link] [code] [EEIL] [18]
End-to-End Incremental Learning
[link] [code] [TPCIL] [20]
Topology-Preserving Class-Incremental Learning
[link] [code] [PODNet] [20]
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
[link] [code] [R-DFCIL] [22]
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning

AAAI

[link] [code] [S&B] [21]
Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network
[link] [code] [ASER] [21]
Online Class-Incremental Continual Learning with Adversarial Shapley Value
[link] [code] [D-Collab] [21]
DeepCollaboration: Collaborative Generative and Discriminative Models for Class Incremental Learning

MM

[link] [code] [COIL] [21]
Co-Transport for Class-Incremental Learning

IJCAI

[link] [code] [KCCIOL] [21]
Knowledge Consolidation based Class Incremental Online Learning with Limited Data

ACCV

[link] [code] [FGP] [20]
Class-incremental Learning with Rectified Feature-Graph Preservation

BMVC

[link] [code] [ICWR] [20]
Initial Classifier Weights Replay for Memoryless Class Incremental Learning

PNAS

[link] [code] [EWC] [17]
Overcoming Catastrophic Forgetting in Neural Networks

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类增量学习(Class-Incremental Learning)领域部分经典论文汇总

CVPR

ICCV

ECCV

AAAI

MM

IJCAI

ACCV

BMVC

PNAS

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