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
In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images	Marin Oršić, Ivan Krešo, Petra Bevandić	2019	arxiv 1903.08469
Unsupervised Domain Adaptation for 3D LiDAR Semantic Segmentation Using Contrastive Learning and Multi-Model Pseudo Labeling	Abhishek Kaushik, Norbert Haala, Uwe Soergel	2025	arxiv 2507.18176
Cityscape-Adverse: Benchmarking Robustness of Semantic Segmentation with Realistic Scene Modifications via Diffusion-Based Image Editing	Naufal Suryanto, Andro Aprila Adiputra, Ahmada Yusril Kadiptya	2024	arxiv 2411.00425
CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting	Huawei Sun, Bora Kunter Sahin, Georg Stettinger	2025	arxiv 2505.03679
EIDSeg: A Pixel-Level Semantic Segmentation Dataset for Post-Earthquake Damage Assessment from Social Media Images	Huili Huang, Chengeng Liu, Danrong Zhang	2025	arxiv 2511.06456
EHSNet: End-to-End Holistic Learning Network for Large-Size Remote Sensing Image Semantic Segmentation	Wei Chen, Yansheng Li, Bo Dang	2022	arxiv 2211.11316
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic Segmentation	Erik Stammes, Tom F.H. Runia, Michael Hofmann	2020	arxiv 2011.04626
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning	Binhui Xie, Mingjia Li, Shuang Li	2021	arxiv 2111.12358
Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset Generation, Perspective Comparison, and Real-Time Capability