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
Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction	Ali Jamali, Swalpa Kumar Roy, Jonathan Li	2023	arxiv 2306.04947
Depth-aware CNN for RGB-D Segmentation	Weiyue Wang, Ulrich Neumann	2018	arxiv 1803.06791
Improved Training for Self-Training by Confidence Assessments	Gal Hyams, Daniel Greenfeld, Dor Bank	2017	arxiv 1710.00209
Associatively Segmenting Instances and Semantics in Point Clouds	Xinlong Wang, Shu Liu, Xiaoyong Shen	2019	arxiv 1902.09852
FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System	Pullarao Maddu, Wayne Doherty, Ganesh Sistu	2019	arxiv 1912.11066
Spatial Sampling Network for Fast Scene Understanding	Davide Mazzini, Raimondo Schettini	2019	arxiv 1905.09033
Single Level Feature-to-Feature Forecasting with Deformable Convolutions	Josip Šarić, Marin Oršić, Tonći Antunović	2019	arxiv 1907.11475
Technical Report: Co-learning of geometry and semantics for online 3D mapping	Marcela Carvalho, Maxime Ferrera, Alexandre Boulch	2019	arxiv 1911.01082
Caltech Aerial RGB-Thermal Dataset in the Wild	Connor Lee, Matthew Anderson, Nikhil Raganathan	2024	arxiv 2403.08997
PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data	Juncong Fei, Kunyu Peng, Philipp Heidenreich	2021	arxiv 2105.04169