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
Semantics-aware Multi-modal Domain Translation:From LiDAR Point Clouds to Panoramic Color Images	Tiago Cortinhal, Fatih Kurnaz, Eren Aksoy	2021	arxiv 2106.13974
Simultaneous Detection and Segmentation	Bharath Hariharan, Pablo Arbeláez, Ross Girshick	2014	arxiv 1407.1808
PixelNet: Representation of the pixels, by the pixels, and for the pixels	Aayush Bansal, Xinlei Chen, Bryan Russell	2017	arxiv 1702.06506
W-Net: A Deep Model for Fully Unsupervised Image Segmentation	Xide Xia, Brian Kulis	2017	arxiv 1711.08506
Mix and match networks: encoder-decoder alignment for zero-pair image translation	Yaxing Wang, Joost van de Weijer, Luis Herranz	2018	arxiv 1804.02199
A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation	Holger R. Roth, Chen Shen, Hirohisa Oda	2018	arxiv 1806.02237
Coarse-to-fine volumetric segmentation of teeth in Cone-Beam CT	Matvey Ezhov, Adel Zakirov, Maxim Gusarev	2018	arxiv 1810.10293
Neutral pion reconstruction using machine learning in the MINERvA experiment at $\langle E_\nu \rangle \sim 6$ GeV	A. Ghosh, B. Yaeggy, R.Galindo	2021	arxiv 2103.06992
Generative Synthetic Augmentation using Label-to-Image Translation for Nuclei Image Segmentation	Takato Yasuno	2020	arxiv 2004.10126
SemanticSugarBeets: A Multi-Task Framework and Dataset for Inspecting Harvest and Storage Characteristics of Sugar Beets	Gerardus Croonen, Andreas Trondl, Julia Simon