Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal
Feature Affinity Learning for Robust Video Segmentation

Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation

12 July 2023

Wu Yuan

Hongliang Ren

ArXiv (abs)PDF HTML Github (8★)

Papers citing "Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation"

8 / 8 papers shown

Title
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation Shuailin Li Zhitong Gao Xuming He NoLa 56 27 0 21 Jul 2021
Distilling effective supervision for robust medical image segmentation with noisy labels Jialin Shi Ji Wu NoLa 43 32 0 21 Jun 2021
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation Cheng Xue Q. Deng Xuelong Li Qi Dou Pheng Ann Heng 52 27 0 05 Apr 2021
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 95 543 0 05 Dec 2019
Confident Learning: Estimating Uncertainty in Dataset Labels Curtis G. Northcutt Lu Jiang Isaac L. Chuang NoLa 153 696 0 31 Oct 2019
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 480 13,178 0 07 Feb 2018
Deep Learning for Medical Image Analysis Mina Rezaei Haojin Yang Christoph Meinel 77 2,070 0 17 Aug 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 692 10,799 0 19 Feb 2017