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
Funnel Activation for Visual Recognition	Ningning Ma, Xiangyu Zhang, Jian Sun	2020	arxiv 2007.11824
LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices	Radu Alexandru Rosu, Peer Schütt, Jan Quenzel	2019	arxiv 1912.05905
Self-awareness in Intelligent Vehicles: Experience Based Abnormality Detection	Divya Kanapram, Pablo Marin-Plaza, Lucio Marcenaro	2020	arxiv 2010.15056
Rotation-Invariant Point Convolution With Multiple Equivariant Alignments	Hugues Thomas	2020	arxiv 2012.04048
Cell image segmentation by Feature Random Enhancement Module	Takamasa Ando, Kazuhiro Hotta	2021	arxiv 2101.07983
Generating superpixels using deep image representations	Thomas Verelst, Matthew Blaschko, Maxim Berman	2019	arxiv 1903.04586
The ALOS Dataset for Advert Localization in Outdoor Scenes	Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson	2019	arxiv 1904.07776
Adaptative Inference Cost With Convolutional Neural Mixture Models	Adria Ruiz, Jakob Verbeek	2019	arxiv 1908.06694
Generalization Bounds for Convolutional Neural Networks	Shan Lin, Jingwei Zhang	2019	arxiv 1910.01487
Explainable Semantic Mapping for First Responders	Jean Oh, Martial Hebert, Hae-Gon Jeon	2019	arxiv 1910.07093
3D Face Reconstruction Using Color Photometric Stereo with Uncalibrated Near Point Lights