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
Privacy-Preserving Semantic Segmentation from Ultra-Low-Resolution RGB Inputs	Xuying Huang, Sicong Pan, Olga Zatsarynna	2025	arxiv 2507.16034
Joint Optical Flow and Temporally Consistent Semantic Segmentation	Junhwa Hur, Stefan Roth	2016	arxiv 1607.07716
Discovering Latent Classes for Semi-Supervised Semantic Segmentation	Olga Zatsarynna, Johann Sawatzky, Juergen Gall	2019	arxiv 1912.12936
Joint Learning of Intrinsic Images and Semantic Segmentation	Anil S. Baslamisli, Thomas T. Groenestege, Partha Das	2018	arxiv 1807.11857
DepthSeg: Depth prompting in remote sensing semantic segmentation	Ning Zhou, Shanxiong Chen, Mingting Zhou	2025	arxiv 2506.14382
Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning	Shaohua Dong, Yunhe Feng, Qing Yang	2023	arxiv 2312.00360
Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy	Fengbei Liu, Yaqub Jonmohamadi, Gabriel Maicas	2020	arxiv 2007.02361
Semantic Segmentation using Adversarial Networks	Pauline Luc, Camille Couprie, Soumith Chintala	2016	arxiv 1611.08408
Simple and Efficient Architectures for Semantic Segmentation	Dushyant Mehta, Andrii Skliar, Haitam Ben Yahia	2022	arxiv 2206.08236
Recursive Training for Zero-Shot Semantic Segmentation	Ce Wang, Moshiur Farazi, Nick Barnes	2021	arxiv 2103.00086