ColonFormer: An Efficient Transformer Based Method for Colon Polyp Segmentation-Reference-Cited by-同舟云学术

ColonFormer: An Efficient Transformer Based Method for Colon Polyp Segmentation

Author:

Duc Nguyen Thanh¹,Oanh Nguyen Thi¹^ORCID,Thuy Nguyen Thi²^ORCID,Triet Tran Minh³^ORCID,Dinh Viet Sang¹^ORCID

Affiliation:

1. School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam

2. Faculty of Information Technology and Software Engineering Laboratory, University of Science, VNU-HCM, Ho Chi Minh, Vietnam

3. University of Science, VNU-HCM, Ho Chi Minh, Vietnam

Funder

Vingroup Innovation Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference53 articles.

1. Axial attention in multidimensional transformers;ho;arXiv 1912 12180,2019

3. Training data-efficient image transformers & distillation through attention;touvron;Proc ICML,2021

4. An image is worth $16\times16$ words: Transformers for image recognition at scale;kolesnikov;Proc ICLR,2021

5. SegFormer: Simple and efficient design for semantic segmentation with transformers;xie;Proc Adv Neural Inf Process Syst,2021

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