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
Focal Modulation Networks	Jianwei Yang, Chunyuan Li, Xiyang Dai	2022	arxiv 2203.11926
Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors	Przemyslaw Polewski, Jacquelyn Shelton, Wei Yao	2021	arxiv 2105.01998
DSU-Net: Dynamic Snake U-Net for 2-D Seismic First Break Picking	Hongtao Wang, Rongyu Feng, Liangyi Wu	2024	arxiv 2405.16980
CNN-based synthesis of realistic high-resolution LiDAR data	Larissa T. Triess, David Peter, Christoph B. Rist	2019	arxiv 1907.00787
Fast Neural Architecture Search for Lightweight Dense Prediction Networks	Lam Huynh, Esa Rahtu, Jiri Matas	2022	arxiv 2203.01994
OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping	Junshi Xia, Naoto Yokoya, Bruno Adriano	2022	arxiv 2210.10732
A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine MRI Using Deep Learning	Narasimharao Kowlagi, Huy Hoang Nguyen, Terence McSweeney	2022	arxiv 2210.14597
Polygonizer: An auto-regressive building delineator	Maxim Khomiakov, Michael Riis Andersen, Jes Frellsen	2023	arxiv 2304.04048
Real-time Semantic Image Segmentation via Spatial Sparsity	Zifeng Wu, Chunhua Shen, Anton van den Hengel	2017	arxiv 1712.00213
Uncertainty Gated Network for Land Cover Segmentation	Guillem Pascual, Santi Seguí, Jordi Vitrià	2018	arxiv 1805.11348