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
Robust 6D Object Pose Estimation in Cluttered Scenes using Semantic Segmentation and Pose Regression Networks	Arul Selvam Periyasamy, Max Schwarz, Sven Behnke	2018	arxiv 1810.03410
Semantic Segmentation of highly class imbalanced fully labelled 3D volumetric biomedical images and unsupervised Domain Adaptation of the pre-trained Segmentation Network to segment another fully unlabelled Biomedical 3D Image stack	Shreya Roy, Anirban Chakraborty	2020	arxiv 2004.02748
AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation	Zhiyu Ma, Chen Li, Tianming Du	2023	arxiv 2308.08172
Synthetic-to-Real Domain Generalized Semantic Segmentation for 3D Indoor Point Clouds	Yuyang Zhao, Na Zhao, Gim Hee Lee	2022	arxiv 2212.04668
Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation	Lianlei Shan, Wenzhang Zhou, Wei Li	2024	arxiv 2405.19568
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation	Antonin Vobecky, David Hurych, Oriane Siméoni	2022	arxiv 2203.11160
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation	Joshua Niemeijer, Manuel Schwonberg, Jan-Aike Termöhlen	2023	arxiv 2312.01850
Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation	Haochen Wang, Yujun Shen, Jingjing Fei	2023	arxiv 2305.13752
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds	Jiacheng Wei, Guosheng Lin, Kim-Hui Yap