Research

Papers for “semantic segmentation”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

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	2025	arxiv 2504.05882
Energy-based Domain-Adaptive Segmentation with Depth Guidance	Jinjing Zhu, Zhedong Hu, Tae-Kyun Kim	2024	arxiv 2402.03795
A Large-scale Evaluation of Pretraining Paradigms for the Detection of Defects in Electroluminescence Solar Cell Images	David Torpey, Lawrence Pratt, Richard Klein	2024	arxiv 2402.17611
SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference	Feng Wang, Jieru Mei, Alan Yuille	2023	arxiv 2312.01597
Semi-Supervised Domain Adaptation via Adaptive and Progressive Feature Alignment	Jiaxing Huang, Dayan Guan, Aoran Xiao	2021	arxiv 2106.02845
Semantics-Depth-Symbiosis: Deeply Coupled Semi-Supervised Learning of Semantics and Depth	Nitin Bansal, Pan Ji, Junsong Yuan	2022	arxiv 2206.10562
Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes	Gordon Christie, Ankit Laddha, Aishwarya Agrawal	2016	arxiv 1604.02125
Did Evolution get it right? An evaluation of Near-Infrared imaging in semantic scene segmentation using deep learning	J. Rafid Siddiqui	2016	arxiv 1611.08815
Predicting Ground-Level Scene Layout from Aerial Imagery	Menghua Zhai, Zachary Bessinger, Scott Workman	2016	arxiv 1612.02709
MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects	Martin Rünz, Maud Buffier, Lourdes Agapito	2018	arxiv 1804.09194
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

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