Semantic-Guided Dynamic Sparsification for Pre-Trained Model-based Class-Incremental Learning

arXiv:2601.21345 · cs.CV · Submitted 2026-01-29 · Read on arXiv

cs.CV

Submitted: 2026-01-29

Updated: 2026-10-17

Terminology

• Semantic-Guided Dynamic Sparsification — 2× in this paper
• Benchmark — 1× in this paper · explained in 2 episodes
• Class-Incremental Learning (CIL) — 1× in this paper · explained in 2 episodes

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models