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
BUSU-Net: An Ensemble U-Net Framework for Medical Image Segmentation	Wei Hao Khoong	2020	arxiv 2003.01581
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems	Patrick Knöbelreiter, Christian Sormann, Alexander Shekhovtsov	2020	arxiv 2003.06258
Open Compound Domain Adaptation	Ziwei Liu, Zhongqi Miao, Xingang Pan	2019	arxiv 1909.03403
Color inference from semantic labeling for person search in videos	Jules Simon, Guillaume-Alexandre Bilodeau, David Steele	2019	arxiv 1911.13114
Binary Neural Networks: A Survey	Haotong Qin, Ruihao Gong, Xianglong Liu	2020	arxiv 2004.03333
Probabilistic Pixel-Adaptive Refinement Networks	Anne S. Wannenwetsch, Stefan Roth	2020	arxiv 2003.14407
Cross-domain Correspondence Learning for Exemplar-based Image Translation	Pan Zhang, Bo Zhang, Dong Chen	2020	arxiv 2004.05571
Contextual Pyramid Attention Network for Building Segmentation in Aerial Imagery	Clint Sebastian, Raffaele Imbriaco, Egor Bondarev	2020	arxiv 2004.07018
TuNet: End-to-end Hierarchical Brain Tumor Segmentation using Cascaded Networks	Minh H. Vu, Tufve Nyholm, Tommy Löfstedt	2019	arxiv 1910.05338
Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning	Youngjoon Yu, Hong Joo Lee, Byeong Cheon Kim	2020	arxiv 2005.10987
Probabilistic Future Prediction for Video Scene Understanding