SOTA2 Research · papers

Papers for “semantic segmentation”

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

Search results

20 indexed

Title	Authors	Year	Source
TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation	Zhaoyuan Yin, Pichao Wang, Fan Wang	2021	arxiv 2112.01515
Combining the Best of Graphical Models and ConvNets for Semantic Segmentation	Michael Cogswell, Xiao Lin, Senthil Purushwalkam	2014	arxiv 1412.4313
Location-aware Upsampling for Semantic Segmentation	Xiangyu He, Zitao Mo, Qiang Chen	2019	arxiv 1911.05250
Stacked Deconvolutional Network for Semantic Segmentation	Jun Fu, Jing Liu, Yuhang Wang	2017	arxiv 1708.04943
Modular Sensor Fusion for Semantic Segmentation	Hermann Blum, Abel Gawel, Roland Siegwart	2018	arxiv 1807.11249
RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud	Pierre Biasutti, Aurélie Bugeau, Jean-François Aujol	2019	arxiv 1905.08748
Contextual Hourglass Network for Semantic Segmentation of High Resolution Aerial Imagery	Panfeng Li, Youzuo Lin, Emily Schultz-Fellenz	2018	arxiv 1810.12813
Learning High-level Prior with Convolutional Neural Networks for Semantic Segmentation	Haitian Zheng, Yebin Liu, Mengqi Ji	2015	arxiv 1511.06988
SegTAD: Precise Temporal Action Detection via Semantic Segmentation	Chen Zhao, Merey Ramazanova, Mengmeng Xu	2022	arxiv 2203.01542
Pin the Memory: Learning to Generalize Semantic Segmentation	Jin Kim, Jiyoung Lee, Jungin Park	2022	arxiv 2204.03609