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class-incremental learning
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Balancing the Past and Present: A Coordinated Replay Framework for Federated Class-Incremental Learning
Class-Incremental Learning for Honey Botanical Origin Classification with Hyperspectral Images: A Study with Continual Backpropagation
Hyperbolic Dual Feature Augmentation for Open-Environment
L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
Buffer-free Class-Incremental Learning with Out-of-Distribution Detection
Few-Shot Class-Incremental Learning For Efficient SAR Automatic Target Recognition
StPR: Spatiotemporal Preservation and Routing for Exemplar-Free Video Class-Incremental Learning
Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing
Efficient Federated Class-Incremental Learning of Pre-Trained Models via Task-agnostic Low-rank Residual Adaptation
AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting
Completely Weakly Supervised Class-Incremental Learning for Semantic Segmentation
Preserving Plasticity in Continual Learning with Adaptive Linearity Injection
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning
PrePrompt: Predictive prompting for class incremental learning
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse
Noise-Tolerant Coreset-Based Class Incremental Continual Learning
Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture
Semi-parametric Memory Consolidation: Towards Brain-like Deep Continual Learning
MEGA: Second-Order Gradient Alignment for Catastrophic Forgetting Mitigation in GFSCIL
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
GPS: Distilling Compact Memories via Grid-based Patch Sampling for Efficient Online Class-Incremental Learning
Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-Training
CMIP-CIL: A Cross-Modal Benchmark for Image-Point Class Incremental Learning
Adaptive Additive Parameter Updates of Vision Transformers for Few-Shot Continual Learning
LoRAX: LoRA eXpandable Networks for Continual Synthetic Image Attribution
FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning
GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation
Diffusion Meets Few-shot Class Incremental Learning
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning
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