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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–75 of 1371 papers

Title	Date	Tasks	Status	Hype
Adaptive Additive Parameter Updates of Vision Transformers for Few-Shot Continual Learning	Apr 11, 2025	class-incremental learningClass Incremental Learning	—Unverified	0
Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-Training	Apr 11, 2025	3D geometryclass-incremental learning	CodeCode Available	1
CMIP-CIL: A Cross-Modal Benchmark for Image-Point Class Incremental Learning	Apr 11, 2025	class-incremental learningClass Incremental Learning	CodeCode Available	0
LoRAX: LoRA eXpandable Networks for Continual Synthetic Image Attribution	Apr 10, 2025	class-incremental learningClass Incremental Learning	CodeCode Available	0
FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning	Apr 9, 2025	class-incremental learningClass Incremental Learning	—Unverified	0
GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision	Apr 7, 2025	Attributeclass-incremental learning	CodeCode Available	0
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation	Apr 2, 2025	class-incremental learningClass Incremental Learning	—Unverified	0
SPF-Portrait: Towards Pure Portrait Customization with Semantic Pollution-Free Fine-tuning	Apr 1, 2025	Contrastive LearningIncremental Learning	—Unverified	0
Diffusion Meets Few-shot Class Incremental Learning	Mar 30, 2025	class-incremental learningClass Incremental Learning	—Unverified	0
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning	Mar 28, 2025	class-incremental learningClass Incremental Learning	—Unverified	0
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning	Mar 27, 2025	class-incremental learningClass Incremental Learning	—Unverified	0
IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting	Mar 26, 2025	class-incremental learningClass Incremental Learning	CodeCode Available	0
Continual learning via probabilistic exchangeable sequence modelling	Mar 26, 2025	class-incremental learningClass Incremental Learning	—Unverified	0
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning	Mar 25, 2025	class-incremental learningClass Incremental Learning	—Unverified	0
Do Your Best and Get Enough Rest for Continual Learning	Mar 24, 2025	Continual LearningIncremental Learning	CodeCode Available	1
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning	Mar 24, 2025	class-incremental learningClass Incremental Learning	—Unverified	0
Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning	Mar 24, 2025	class-incremental learningClass Incremental Learning	—Unverified	0
DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype	Mar 23, 2025	Incremental Learning	—Unverified	0
Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds	Mar 22, 2025	class-incremental learningClass Incremental Learning	CodeCode Available	1
UAS Visual Navigation in Large and Unseen Environments via a Meta Agent	Mar 20, 2025	Incremental LearningMeta Reinforcement Learning	—Unverified	0
Technical Report for the 5th CLVision Challenge at CVPR: Addressing the Class-Incremental with Repetition using Unlabeled Data -- 4th Place Solution	Mar 19, 2025	class-incremental learningClass Incremental Learning	CodeCode Available	0
Condensing Action Segmentation Datasets via Generative Network Inversion	Mar 18, 2025	Action SegmentationIncremental Learning	—Unverified	0
Robust3D-CIL: Robust Class-Incremental Learning for 3D Perception	Mar 18, 2025	Autonomous Drivingclass-incremental learning	—Unverified	0
RAG-KG-IL: A Multi-Agent Hybrid Framework for Reducing Hallucinations and Enhancing LLM Reasoning through RAG and Incremental Knowledge Graph Learning Integration	Mar 14, 2025	Graph LearningHallucination	—Unverified	0
An experimental approach on Few Shot Class Incremental Learning	Mar 14, 2025	class-incremental learningClass Incremental Learning	—Unverified	0

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All datasets CIFAR-100 - 50 classes + 5 steps of 10 classes CIFAR-100 - 50 classes + 10 steps of 5 classes ImageNet100 - 10 steps CIFAR-100-B0(5steps of 20 classes)ImageNet - 10 steps CIFAR100-B0(10steps of 10 classes)CIFAR-100 - 50 classes + 25 steps of 2 classes CIFAR100B020Step(5ClassesPerStep)ImageNet-100 - 50 classes + 10 steps of 5 classes ImageNet-100 - 50 classes + 5 steps of 10 classes CIFAR-100 - 50 classes + 2 steps of 25 classes ImageNet - 500 classes + 10 steps of 50 classes

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PPCA-SWSL	Final Accuracy	77.07	—	Unverified
2	TCIL	Average Incremental Accuracy	74.88	—	Unverified
3	TCIL-Lite	Average Incremental Accuracy	74.3	—	Unverified
4	DER(Standard ResNet-18)	Average Incremental Accuracy	72.6	—	Unverified
5	D3Former	Average Incremental Accuracy	72.23	—	Unverified
6	PPCA-CLIP	Final Accuracy	69.71	—	Unverified
7	FOSTER	Average Incremental Accuracy	69.46	—	Unverified
8	RMM (Modified ResNet-32)	Average Incremental Accuracy	68.86	—	Unverified
9	DER(Modified Res-32)	Average Incremental Accuracy	67.6	—	Unverified
10	CCIL-SD	Average Incremental Accuracy	67.17	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TCIL	Average Incremental Accuracy	73.72	—	Unverified
2	TCIL-Lite	Average Incremental Accuracy	73.5	—	Unverified
3	DER(Standard ResNet-18)	Average Incremental Accuracy	72.45	—	Unverified
4	D3Former	Average Incremental Accuracy	70.94	—	Unverified
5	FOSTER	Average Incremental Accuracy	67.95	—	Unverified
6	RMM (Modified ResNet-32)	Average Incremental Accuracy	67.61	—	Unverified
7	DER(Modified ResNet-32）	Average Incremental Accuracy	66.36	—	Unverified
8	CCIL-SD	Average Incremental Accuracy	65.86	—	Unverified
9	PODNet (CNN)	Average Incremental Accuracy	63.19	—	Unverified
10	UCIR (CNN)*	Average Incremental Accuracy	60.18	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	WA	Average Incremental Accuracy Top-5	91	—	Unverified
2	BiC	Average Incremental Accuracy Top-5	90.6	—	Unverified
3	E2E	Average Incremental Accuracy Top-5	89.92	—	Unverified
4	RPSNet	Average Incremental Accuracy Top-5	87.9	—	Unverified
5	kNN-CLIP	Average Incremental Accuracy	85.1	—	Unverified
6	iCaRL	Average Incremental Accuracy Top-5	83.6	—	Unverified
7	RMM (ResNet-18)	Average Incremental Accuracy	78.47	—	Unverified
8	FOSTER	Average Incremental Accuracy	77.75	—	Unverified
9	TCIL	Average Incremental Accuracy	77.66	—	Unverified
10	TCIL-Lite	Average Incremental Accuracy	77.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	View-Batch(TCIL)	Average Incremental Accuracy	79.23	—	Unverified
2	TCIL	Average Incremental Accuracy	77.72	—	Unverified
3	TCIL-Lite	Average Incremental Accuracy	76.96	—	Unverified
4	DER(w/o P)	Average Incremental Accuracy	76.8	—	Unverified
5	BiC	Average Incremental Accuracy	73.1	—	Unverified
6	WA	Average Incremental Accuracy	72.81	—	Unverified
7	iCaRL	Average Incremental Accuracy	71.14	—	Unverified
8	RPSNet	Average Incremental Accuracy	70.5	—	Unverified
9	PODNet	Average Incremental Accuracy	66.7	—	Unverified
10	UCIR	Average Incremental Accuracy	62.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	kNN-CLIP	Average Incremental Accuracy	85.5	—	Unverified
2	BiC	Average Incremental Accuracy Top-5	84	—	Unverified
3	E2E	Average Incremental Accuracy Top-5	72.09	—	Unverified
4	DyTox	Average Incremental Accuracy	71.29	—	Unverified
5	DER w/o Pruning	Average Incremental Accuracy	68.84	—	Unverified
6	FOSTER	Average Incremental Accuracy	68.34	—	Unverified
7	RMM (ResNet-18)	Average Incremental Accuracy	67.45	—	Unverified
8	DER	Average Incremental Accuracy	66.73	—	Unverified
9	WA	Average Incremental Accuracy	65.67	—	Unverified
10	iCaRL	Average Incremental Accuracy	38.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	View-Batch(DER)	Average Incremental Accuracy	78.12	—	Unverified
2	TCIL	Average Incremental Accuracy	77.3	—	Unverified
3	TCIL-Lite	Average Incremental Accuracy	76.74	—	Unverified
4	DER(ResNet-18)	Average Incremental Accuracy	74.64	—	Unverified
5	FOSTER	Average Incremental Accuracy	72.9	—	Unverified
6	Coil	Average Incremental Accuracy	65.48	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	D3Former	Average Incremental Accuracy	68.68	—	Unverified
2	RMM (Modified ResNet-32)	Average Incremental Accuracy	66.21	—	Unverified
3	FOSTER	Average Incremental Accuracy	63.83	—	Unverified
4	PODNet	Average Incremental Accuracy	60.72	—	Unverified
5	BiC	Average Incremental Accuracy	48.96	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	View-Batch(DER)	Average Incremental Accuracy	76.95	—	Unverified
2	TCIL-Lite	Average Incremental Accuracy	75.47	—	Unverified
3	TCIL	Average Incremental Accuracy	75.11	—	Unverified
4	DER(ResNet-18)	Average Incremental Accuracy	73.98	—	Unverified
5	FOSTER	Average Incremental Accuracy	70.65	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RMM (ResNet-18)	Average Incremental Accuracy	78.47	—	Unverified
2	DER	Average Incremental Accuracy	77.73	—	Unverified
3	FOSTER	Average Incremental Accuracy	77.54	—	Unverified
4	CCIL-SD	Average Incremental Accuracy	76.77	—	Unverified
5	PODNet	Average Incremental Accuracy	73.14	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FOSTER	Average Incremental Accuracy	80.22	—	Unverified
2	RMM (ResNet-18)	Average Incremental Accuracy	79.52	—	Unverified
3	CCIL-SD	Average Incremental Accuracy	79.44	—	Unverified
4	PODNet	Average Incremental Accuracy	75.82	—	Unverified
5	iCaRL*	Average Incremental Accuracy	65.56	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TCIL	Average Incremental Accuracy	76.42	—	Unverified
2	TCIL-Lite	Average Incremental Accuracy	74.95	—	Unverified
3	DER (w/o P)	Average Incremental Accuracy	74.61	—	Unverified
4	iCaRL	Average Incremental Accuracy	71.33	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PPCA-CLIP	Final Accuracy	71.25	—	Unverified
2	RMM (ResNet-18)	Average Incremental Accuracy	67.45	—	Unverified
3	PODNet	Average Incremental Accuracy	64.13	—	Unverified
4	UCIR (NME)*	Average Incremental Accuracy	59.92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PPCA-CLIP	Final Accuracy	71.25	—	Unverified
2	RMM (ResNet-18)	Average Incremental Accuracy	69.21	—	Unverified
3	CCIL-SD	Average Incremental Accuracy	68.04	—	Unverified
4	PODNet	Average Incremental Accuracy	66.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RMM (ResNet-18)	Average Incremental Accuracy	76.54	—	Unverified
2	FOSTER	Average Incremental Accuracy	69.34	—	Unverified
3	PODNet	Average Incremental Accuracy	67.28	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PODNet	Average Incremental Accuracy	57.98	—	Unverified
2	BiC	Average Incremental Accuracy	47.09	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PODNet	Average Incremental Accuracy	62.08	—	Unverified
2	BiC	Average Incremental Accuracy	46.49	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FeTrIL	Average Incremental Accuracy	59.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DER(ResNet-18)	Average Incremental Accuracy	72.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FOSTER	Average Incremental Accuracy	74.49	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PPCA-CLIP	Final Accuracy	35.42	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RMM (ResNet-18)	Average Incremental Accuracy	63.93	—	Unverified