English

Transformer for Polyp Detection

Image and Video Processing 2021-11-16 v1 Computer Vision and Pattern Recognition

Abstract

In recent years, as the Transformer has performed increasingly well on NLP tasks, many researchers have ported the Transformer structure to vision tasks ,bridging the gap between NLP and CV tasks. In this work, we evaluate some deep learning network for the detection track. Because the ground truth is mask, so we can try both the current detection and segmentation method. We select the DETR as our baseline through experiment. Besides, we modify the train strategy to fit the dataset.

Keywords

Cite

@article{arxiv.2111.07918,
  title  = {Transformer for Polyp Detection},
  author = {Shijie Liu and Hongyu Zhou and Xiaozhou Shi and Junwen Pan},
  journal= {arXiv preprint arXiv:2111.07918},
  year   = {2021}
}
R2 v1 2026-06-24T07:39:12.497Z