Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density

24 August 2021

Papers citing "Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density"

8 / 8 papers shown

Title
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities Yanis Lalou Théo Gnassounou Antoine Collas Antoine de Mathelin Oleksii Kachaiev Ambroise Odonnat Alexandre Gramfort Thomas Moreau Rémi Flamary 87 0 0 16 Jul 2024
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation Taejong Joo Diego Klabjan 33 1 0 16 Oct 2023
Semantic Image Segmentation: Two Decades of Research G. Csurka Riccardo Volpi Boris Chidlovskii 3DV 26 50 0 13 Feb 2023
360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning Bolivar Solarte Chin-Hsuan Wu Yueh-Cheng Liu Yi-Hsuan Tsai Min Sun 3DV 23 5 0 24 Oct 2022
Rethinking Unsupervised Domain Adaptation for Semantic Segmentation Zhijie Wang Masanori Suganuma Takayuki Okatani OOD 19 2 0 30 Jun 2022
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation Shiqi Yang Yaxing Wang Kai Wang Shangling Jui Joost van de Weijer 24 131 0 09 May 2022
UMAD: Universal Model Adaptation under Domain and Category Shift Jian Liang Dapeng Hu Jiashi Feng R. He 26 30 0 16 Dec 2021
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 230 789 0 26 Aug 2019