SOTA2 Research · papers

Papers for “semantic segmentation”

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20 indexed

Title	Authors	Year	Source
Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training	Hexin Dong, Fei Yu, Jie Zhao	2021	arxiv 2109.14219
Real-Time Semantic Segmentation using Hyperspectral Images for Mapping Unstructured and Unknown Environments	Anthony Medellin, Anant Bhamri, Reza Langari	2023	arxiv 2303.15623
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images	Edward Collier, Kate Duffy, Sangram Ganguly	2019	arxiv 1902.04604
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation	Zhonghao Wang, Yunchao Wei, Rogerior Feris	2020	arxiv 2004.00794
Gleason Grading of Histology Prostate Images through Semantic Segmentation via Residual U-Net	Amartya Kalapahar, Julio Silva-Rodríguez, Adrián Colomer	2020	arxiv 2005.11368
SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection	Rui Fan, Hengli Wang, Peide Cai	2020	arxiv 2008.11351
Semantic Segmentation of Histopathological Slides for the Classification of Cutaneous Lymphoma and Eczema	Jérémy Scheurer, Claudio Ferrari, Luis Berenguer Todo Bom	2020	arxiv 2009.05403
Convolution Neural Networks for Semantic Segmentation: Application to Small Datasets of Biomedical Images	Vitaly Nikolaev	2020	arxiv 2011.01747
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization	Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina	2022	arxiv 2205.07839