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
Autonomous Dual-Arm Manipulation of Familiar Objects	Dmytro Pavlichenko, Diego Rodriguez, Max Schwarz	2018	arxiv 1811.08716
Boundary-guided Feature Aggregation Network for Salient Object Detection	Yunzhi Zhuge, Pingping Zhang, Huchuan Lu	2018	arxiv 1809.10821
MegaDepth: Learning Single-View Depth Prediction from Internet Photos	Zhengqi Li, Noah Snavely	2018	arxiv 1804.00607
End to End Video Segmentation for Driving : Lane Detection For Autonomous Car	Wenhui Zhang, Tejas Mahale	2018	arxiv 1812.05914
Spherical CNNs on Unstructured Grids	Chiyu "Max" Jiang, Jingwei Huang, Karthik Kashinath	2019	arxiv 1901.02039
A Probabilistic U-Net for Segmentation of Ambiguous Images	Simon A. A. Kohl, Bernardino Romera-Paredes, Clemens Meyer	2018	arxiv 1806.05034
Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning	Alexey Shvets, Alexander Rakhlin, Alexandr A. Kalinin	2018	arxiv 1803.01207
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection	Dimity Miller, Feras Dayoub, Michael Milford	2018	arxiv 1809.06006
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields	Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua	2019	arxiv 1904.00699
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network	Sachin Mehta, Mohammad Rastegari, Linda Shapiro