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cs.CV2024
CellSeg1: Robust Cell Segmentation with One Training Image
Peilin Zhou, Bo Du, Yongchao Xu
Recent trends in cell segmentation have shifted towards universal models to handle diverse cell morphologies and imaging modalities. However, for continuously emerging cell types a…
cs.CV2024
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation
Zhikai Wei, Wenhui Dong, Peilin Zhou +3
Deep learning based methods often suffer from performance degradation caused by domain shift. In recent years, many sophisticated network structures have been designed to tackle th…
cs.CV2023
Shifted Autoencoders for Point Annotation Restoration in Object Counting
Yuda Zou, Xin Xiao, Peilin Zhou +3
Object counting typically uses 2D point annotations. The complexity of object shapes and the subjectivity of annotators may lead to annotation inconsistency, potentially confusing…