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
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation	Miguel Monteiro, Mário A. T. Figueiredo, Arlindo L. Oliveira	2018	arxiv 1807.07464
Learning Propagation for Arbitrarily-structured Data	Sifei Liu, Xueting Li, Varun Jampani	2019	arxiv 1909.11237
Domain Adaptation for Structured Output via Discriminative Patch Representations	Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter	2019	arxiv 1901.05427
Segmenting the Future	Hsu-kuang Chiu, Ehsan Adeli, Juan Carlos Niebles	2019	arxiv 1904.10666
Pointwise Attention-Based Atrous Convolutional Neural Networks	Mobina Mahdavi, Fahimeh Fooladgar, Shohreh Kasaei	2019	arxiv 1912.12082
DVNet: A Memory-Efficient Three-Dimensional CNN for Large-Scale Neurovascular Reconstruction	Leila Saadatifard, Aryan Mobiny, Pavel Govyadinov	2020	arxiv 2002.01568
Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic Images	Kumar Abhishek, Ghassan Hamarneh, Mark S. Drew	2020	arxiv 2003.10111
Real-Time Panoptic Segmentation from Dense Detections	Rui Hou, Jie Li, Arjun Bhargava	2019	arxiv 1912.01202
Stillleben: Realistic Scene Synthesis for Deep Learning in Robotics	Max Schwarz, Sven Behnke	2020	arxiv 2005.05659
Can we cover navigational perception needs of the visually impaired by panoptic segmentation?	Wei Mao, Jiaming Zhang, Kailun Yang	2020	arxiv 2007.10202