( en | de | ru )

 

Disambiguation of "Bao, Linh Doan"

Author of the publication

copydeleteadd this publication to your clipboard
Improve polyp semi-supervised segmentation with prioritizing the reliability of unlabeled images.

, , , , , and . ICSIE, page 35-40. ACM, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Gilbert Doan

Jin Bao

Wenwen Bao

Doan xuan Quang

Duy-Tien Doan

 

Other publications of authors with the same name

LACFormer: Toward accurate and efficient polyp segmentation., , , , , and . BMVC, page 411-416. BMVA Press, (2023)MC-OCR Challenge 2021: Towards Document Understanding for Unconstrained Mobile-Captured Vietnamese Receipts., , , , and . RIVF, page 1-5. IEEE, (2021)Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning., , , , , , and . ACOMP, page 49-54. IEEE, (2020)Online pseudo labeling for polyp segmentation with momentum networks., , , , , and . KSE, page 1-6. IEEE, (2022)From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection., , , , and . KSE, page 37-42. IEEE, (2020)DAMFormer: Enhancing Polyp Segmentation Through Dual Attention Mechanism., , , , , , and . ICONIP (4), volume 14450 of Lecture Notes in Computer Science, page 95-106. Springer, (2023)Improve polyp semi-supervised segmentation with prioritizing the reliability of unlabeled images., , , , , and . ICSIE, page 35-40. ACM, (2022)Efficient Palm-Line Segmentation with U-Net Context Fusion Module., , , , and . ACOMP, page 23-28. IEEE, (2020)SunBear at WNUT-2020 Task 2: Improving BERT-Based Noisy Text Classification with Knowledge of the Data domain., , and . W-NUT@EMNLP, page 485-490. Association for Computational Linguistics, (2020)Contrastive Learning for Natural Language-Based Vehicle Retrieval., , , , , and . CVPR Workshops, page 4245-4252. Computer Vision Foundation / IEEE, (2021)