SOTA2 Research · papers

Papers for “semantic segmentation”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

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20 indexed

Title	Authors	Year	Source
Blending Learning and Inference in Structured Prediction	Tamir Hazan, Alexander Schwing, David McAllester	2012	arxiv 1210.2346
A combined Approach Based on Fuzzy Classification and Contextual Region Growing to Image Segmentation	Mahaman Sani Chaibou, Karim Kalti, Bassel Soulaiman	2016	arxiv 1608.02373
Spatio-temporal video autoencoder with differentiable memory	Viorica Patraucean, Ankur Handa, Roberto Cipolla	2015	arxiv 1511.06309
Semi-Dense 3D Semantic Mapping from Monocular SLAM	Xuanpeng Li, Rachid Belaroussi	2016	arxiv 1611.04144
SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth	John McCormac, Ankur Handa, Stefan Leutenegger	2016	arxiv 1612.05079
Going Deeper into Action Recognition: A Survey	Samitha Herath, Mehrtash Harandi, Fatih Porikli	2016	arxiv 1605.04988
Semantic Change Detection with Hypermaps	Teppei Suzuki, Soma Shirakabe, Yudai Miyashita	2016	arxiv 1604.07513
A Generative Model of People in Clothing	Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler	2017	arxiv 1705.04098
Image Segmentation and Classification for Sickle Cell Disease using Deformable U-Net	Mo Zhang, Xiang Li, Mengjia Xu	2017	arxiv 1710.08149
Comparison of the Deep-Learning-Based Automated Segmentation Methods for the Head Sectioned Images of the Virtual Korean Human Project	Mohammad Eshghi, Holger R. Roth, Masahiro Oda	2017	arxiv 1703.04967