Precise Yet Efficient Semantic Calibration and Refinement in ConvNets for Real-time Polyp Segmentation from Colonoscopy Videos

Huisi Wu, Jiafu Zhong, Wei Wang, Zhenkun Wen, Jing Qin 0001. Precise Yet Efficient Semantic Calibration and Refinement in ConvNets for Real-time Polyp Segmentation from Colonoscopy Videos. In Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021. pages 2916-2924, AAAI Press, 2021. [doi]

@inproceedings{WuZWW021,
  title = {Precise Yet Efficient Semantic Calibration and Refinement in ConvNets for Real-time Polyp Segmentation from Colonoscopy Videos},
  author = {Huisi Wu and Jiafu Zhong and Wei Wang and Zhenkun Wen and Jing Qin 0001},
  year = {2021},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/16398},
  researchr = {https://researchr.org/publication/WuZWW021},
  cites = {0},
  citedby = {0},
  pages = {2916-2924},
  booktitle = {Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021},
  publisher = {AAAI Press},
  isbn = {978-1-57735-866-4},
}