AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic Segmentationby Jiaqi Ma, Guo-Sen Xie, Fang Zhao,…
QTSeg: A Query Token-Based Dual-Mix Attention Framework with Multi-Level Feature Distribution for Medical Image Segmentationby…
Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentationby Zhenxin Lei, Man Yao, Jiakui Hu, Xinhao…
Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case…
Efficient Quantization-Aware Training on Segment Anything Model in Medical Images and Its Deploymentby Haisheng Lu,…
[MASK] is All You Needby Vincent Tao Hu, Björn OmmerFirst submitted to arxiv on: 9…
A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoderby Quansong…
MRGen: Segmentation Data Engine For Underrepresented MRI Modalitiesby Haoning Wu, Ziheng Zhao, Ya Zhang, Yanfeng…
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentationby Mengzhu Wang, Jiao Li, Houcheng Su, Nan…
TP-UNet: Temporal Prompt Guided UNet for Medical Image Segmentationby Ranmin Wang, Limin Zhuang, Hongkun Chen,…