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
Many Perception Tasks are Highly Redundant Functions of their Input Data	Rahul Ramesh, Anthony Bisulco, Ronald W. DiTullio	2024	arxiv 2407.13841
Classifying point clouds at the facade-level using geometric features and deep learning networks	Yue Tan, Olaf Wysocki, Ludwig Hoegner	2024	arxiv 2402.06506
SimSAM: Simple Siamese Representations Based Semantic Affinity Matrix for Unsupervised Image Segmentation	Chanda Grover Kamra, Indra Deep Mastan, Nitin Kumar	2024	arxiv 2406.07986
Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology	Jakub Caputa, Maciej Wielgosz, Daria \Lukasik	2023	arxiv 2306.11848
Detecting Cadastral Boundary from Satellite Images Using U-Net model	Neda Rahimpour Anaraki, Maryam Tahmasbi, Saeed Reza Kheradpisheh	2025	arxiv 2502.11044
TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression	Nikolina Kubiak, Simon Hadfield	2021	arxiv 2109.10658
Irregular Convolutional Neural Networks	Jiabin Ma, Wei Wang, Liang Wang	2017	arxiv 1706.07966
Real Time Egocentric Object Segmentation: THU-READ Labeling and Benchmarking Results	E. Gonzalez-Sosa, G. Robledo, D. Gonzalez-Morin	2021	arxiv 2106.04957
WeatherSeg: Weather-Robust Image Segmentation using Teacher-Student Dual Learning and Classifier-Updating Attention	Zhang Zhang, Yifeng Zeng, Houshi Jiang	2026	arxiv 2604.22824
A deep learning framework for glomeruli segmentation with boundary attention