English

Reproducibility of "FDA: Fourier Domain Adaptation forSemantic Segmentation

Computer Vision and Pattern Recognition 2021-05-03 v1

Abstract

The following paper is a reproducibility report for "FDA: Fourier Domain Adaptation for Semantic Segmentation" published in the CVPR 2020 as part of the ML Reproducibility Challenge 2020. The original code was made available by the author. The well-commented version of the code containing all ablation studies performed derived from the original code along with WANDB integration is available at <github.com/thefatbandit/FDA> with proper instructions to execute experiments in README.

Keywords

Cite

@article{arxiv.2104.14749,
  title  = {Reproducibility of "FDA: Fourier Domain Adaptation forSemantic Segmentation},
  author = {Arnesh Kumar Issar and Kirtan Mali and Aryan Mehta and Karan Uppal and Saurabh Mishra and Debashish Chakravarty},
  journal= {arXiv preprint arXiv:2104.14749},
  year   = {2021}
}

Comments

11 pages, 7 figures, 7 Tables, ML Reproducibility Challenge 2020