9 citations · 10 across the 5 of their papers we have counts for
5 papers
WeakPolyp: You Only Look Bounding Box for Polyp Segmentation
Jun Wei, Yiwen Hu, Shuguang Cui +2
Limited by expensive pixel-level labels, polyp segmentation models are plagued by data shortage and suffer from impaired generalization. In contrast, polyp bounding box annotations…
TextBox 2.0: A Text Generation Library with Pre-trained Language Models
Tianyi Tang, Junyi Li, Zhipeng Chen +9
To facilitate research on text generation, this paper presents a comprehensive and unified library, TextBox 2.0, focusing on the use of pre-trained language models (PLMs). To be co…
BoxPolyp:Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations
Jun Wei, Yiwen Hu, Guanbin Li +3
Accurate polyp segmentation is of great importance for colorectal cancer diagnosis and treatment. However, due to the high cost of producing accurate mask annotations, existing pol…
Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency
Weijie Ma, Ye Zhu, Ruimao Zhang +4
The colorectal polyps classification is a critical clinical examination. To improve the classification accuracy, most computer-aided diagnosis algorithms recognize colorectal polyp…
Shallow Attention Network for Polyp Segmentation
Jun Wei, Yiwen Hu, Ruimao Zhang +3
Accurate polyp segmentation is of great importance for colorectal cancer diagnosis. However, even with a powerful deep neural network, there still exists three big challenges that…