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
Confidence Regularized Self-Training	Yang Zou, Zhiding Yu, Xiaofeng Liu	2019	arxiv 1908.09822
Rethinking Normalization and Elimination Singularity in Neural Networks	Siyuan Qiao, Huiyu Wang, Chenxi Liu	2019	arxiv 1911.09738
Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry	Jannis Walk, Niklas Kühl, Jonathan Schäfer	2020	arxiv 2008.01053
Shape Consistent 2D Keypoint Estimation under Domain Shift	Levi O. Vasconcelos, Massimiliano Mancini, Davide Boscaini	2020	arxiv 2008.01589
GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes	Weidong Zhang, Wei Zhang, Yinda Zhang	2020	arxiv 2008.06286
Representative Graph Neural Network	Changqian Yu, Yifan Liu, Changxin Gao	2020	arxiv 2008.05202
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation	Jiahua Dong, Yang Cong, Gan Sun	2020	arxiv 2008.10464
Disentangled Non-Local Neural Networks	Minghao Yin, Zhuliang Yao, Yue Cao	2020	arxiv 2006.06668
Single-Shot Panoptic Segmentation	Mark Weber, Jonathon Luiten, Bastian Leibe	2019	arxiv 1911.00764
Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles	Vishnu D. Sharma, Maymoonah Toubeh, Lifeng Zhou	2020	arxiv 2003.11675
Angular Luminance for Material Segmentation