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
Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks	Yuan Li, Yuanjie Yu, Zefeng Li	2018	arxiv 1811.07432
Learning Common Representation from RGB and Depth Images	Giorgio Giannone, Boris Chidlovskii	2018	arxiv 1812.06873
Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic Image Segmentation	Gabriel L. Oliveira, Senthil Yogamani, Wolfram Burgard	2020	arxiv 2007.09746
A large annotated medical image dataset for the development and evaluation of segmentation algorithms	Amber L. Simpson, Michela Antonelli, Spyridon Bakas	2019	arxiv 1902.09063
Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models	Muhammad Atta ur Rahman, Dooseop Choi, Seung-Ik Lee	2025	arxiv 2501.16769
Exploring Spatial Diversity for Region-based Active Learning	Lile Cai, Xun Xu, Lining Zhang	2025	arxiv 2507.17367
Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness	Idris Hamoud, Alexandros Karargyris, Aidean Sharghi	2024	arxiv 2407.05448
Attention-based Multi-modal Fusion Network for Semantic Scene Completion	Siqi Li, Changqing Zou, Yipeng Li	2020	arxiv 2003.13910
SegPoint: Segment Any Point Cloud via Large Language Model	Shuting He, Henghui Ding, Xudong Jiang	2024	arxiv 2407.13761
Turin3D: Evaluating Adaptation Strategies under Label Scarcity in Urban LiDAR Segmentation with Semi-Supervised Techniques	Luca Barco, Giacomo Blanco, Gaetano Chiriaco

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments	Fatemeh Mohammadi Amin, Darwin G. Caldwell, Hans Wernher van de Venn	2025	arxiv 2506.09552