2 papers
cs.LG2024
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation
Yuchen Yang, Yingdong Shi, Cheems Wang +3
Fine-tuning pretrained large models to downstream tasks is an important problem, which however suffers from huge memory overhead due to large-scale parameters. This work strives to…
eess.IV2024
MARformer: An Efficient Metal Artifact Reduction Transformer for Dental CBCT Images
Yuxuan Shi, Jun Xu, Dinggang Shen
Cone Beam Computed Tomography (CBCT) plays a key role in dental diagnosis and surgery. However, the metal teeth implants could bring annoying metal artifacts during the CBCT imagin…