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
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images	Aakarsh Malhotra, Surbhi Mittal, Puspita Majumdar	2020	arxiv 2008.03205
Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery	Qian Wang, Toby P. Breckon	2020	arxiv 2012.11753
Multi-Resolution Graph Neural Network for Large-Scale Pointcloud Segmentation	Liuyue Xie, Tomotake Furuhata, Kenji Shimada	2020	arxiv 2009.08924
Value of Temporal Dynamics Information in Driving Scene Segmentation	Li Ding, Jack Terwilliger, Rini Sherony	2019	arxiv 1904.00758
On Boosting Semantic Street Scene Segmentation with Weak Supervision	Panagiotis Meletis, Gijs Dubbelman	2019	arxiv 1903.03462
Texture Underfitting for Domain Adaptation	Jan-Nico Zaech, Dengxin Dai, Martin Hahner	2019	arxiv 1908.11215
Learnable Tree Filter for Structure-preserving Feature Transform	Lin Song, Yanwei Li, Zeming Li	2019	arxiv 1909.12513
Building Segmentation through a Gated Graph Convolutional Neural Network with Deep Structured Feature Embedding	Yilei Shi, Qingyu Li, Xiao Xiang Zhu	2019	arxiv 1911.03165
Improving Semantic Image Segmentation via Label Fusion in Semantically Textured Meshes	Florian Fervers, Timo Breuer, Gregor Stachowiak	2021	arxiv 2111.11103
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality	Xiaohan Ding, Honghao Chen, Xiangyu Zhang	2021	arxiv 2112.11081