Data Quality Aware Approaches for Addressing Model Drift of Semantic Segmentation Models

11 February 2024

Papers citing "Data Quality Aware Approaches for Addressing Model Drift of Semantic Segmentation Models"

5 / 5 papers shown

Title
M18K: A Comprehensive RGB-D Dataset and Benchmark for Mushroom Detection and Instance Segmentation Abdollah Zakeri Mulham Fawakherji Jiming Kang Bikram Koirala Venkatesh Balan Weihang Zhu D. Benhaddou Fatima Merchant 13 0 0 15 Jul 2024
Attention-based Shape and Gait Representations Learning for Video-based Cloth-Changing Person Re-Identification Vuong D. Nguyen Samiha Mirza Pranav Mantini Shishir K. Shah CVBM 28 10 0 06 Feb 2024
Automatically detecting data drift in machine learning classifiers Samuel Ackerman Orna Raz Marcel Zalmanovici Aviad Zlotnick 21 36 0 10 Nov 2021
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 253 1,827 0 18 Aug 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 294 75,800 0 18 May 2015