Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge

no code implementations • 24 Feb 2022 • Sharib Ali, Noha Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Chen Yang, Wuyang Li, Adrian Galdran, Miguel-Ángel González Ballester, Vajira Thambawita, Steven Hicks, Sahadev Poudel, Sang-Woong Lee, Ziyi Jin, Tianyuan Gan, Chenghui Yu, Jiangpeng Yan, Doyeob Yeo, Hyunseok Lee, Nikhil Kumar Tomar, Mahmood Haithmi, Amr Ahmed, Michael A. Riegler, Christian Daul, Pål Halvorsen, Jens Rittscher, Osama E. Salem, Dominique Lamarque, Renato Cannizzaro, Stefano Realdon, Thomas de Lange, James E. East

Polyps are well-known cancer precursors identified by colonoscopy.

Segmentation

M2GAN: A Multi-Stage Self-Attention Network for Image Rain Removal on Autonomous Vehicles

no code implementations • 12 Oct 2021 • Duc Manh Nguyen, Sang-Woong Lee

In this paper, we propose a new multi-stage multi-task recurrent generative adversarial network (M2GAN) to deal with challenging problems of raindrops hitting the car's windshield.

Autonomous Vehicles Generative Adversarial Network +2

UnfairGAN: An Enhanced Generative Adversarial Network for Raindrop Removal from A Single Image

no code implementations • 11 Oct 2021 • Duc Manh Nguyen, Sang-Woong Lee

UnfairGAN is an enhanced generative adversarial network that can utilize prior high-level information, such as edges and rain estimation, to boost deraining performance.

Autonomous Vehicles Generative Adversarial Network +1