2 papers
cs.CV2026
Optimizing Neural Network Architecture for Medical Image Segmentation Using Monte Carlo Tree Search
Liping Meng, Fan Nie, Yunyun Zhang +1
This paper proposes a novel medical image segmentation framework, MNAS-Unet, which combines Monte Carlo Tree Search (MCTS) and Neural Architecture Search (NAS). MNAS-Unet dynamical…
cs.LG2024
DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuning
Ovanes Petrosian, Li Pengyi, He Yulong +4
Rolling bearing fault detection has developed rapidly in the field of fault diagnosis technology, and it occupies a very important position in this field. Deep learning-based beari…