Research

Papers for “semantic segmentation”

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

Title	Authors	Year	Source
Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers	Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris	2025	arxiv 2501.08303
Infinite Photorealistic Worlds using Procedural Generation	Alexander Raistrick, Lahav Lipson, Zeyu Ma	2023	arxiv 2306.09310
Onboard-Targeted Segmentation of Straylight in Space Camera Sensors	Riccardo Gallon, Fabian Schiemenz, Alessandra Menicucci	2026	arxiv 2602.20709
Automatic Landmark-Based Segmentation of Human Subcortical Structures in MRI	Ahmed Rekik, R. Jarrett Rushmore, Sylvain Bouix	2026	arxiv 2605.14221
UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep Neural Networks	Weikai Tan, Dedong Zhang, Lingfei Ma	2020	arxiv 2010.11106
Morpheus: A Deep Learning Framework For Pixel-Level Analysis of Astronomical Image Data	Ryan Hausen, Brant Robertson	2019	arxiv 1906.11248
HCFormer: Unified Image Segmentation with Hierarchical Clustering	Teppei Suzuki	2022	arxiv 2205.09949
DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency	Yike Yuan, Xinghe Fu, Yunlong Yu	2023	arxiv 2306.04654
Generalizing to Unseen Domains via Adversarial Data Augmentation	Riccardo Volpi, Hongseok Namkoong, Ozan Sener	2018	arxiv 1805.12018
Deep Structured Prediction with Nonlinear Output Transformations	Colin Graber, Ofer Meshi, Alexander Schwing	2018	arxiv 1811.00539
Composite Binary Decomposition Networks	You Qiaoben, Zheng Wang, Jianguo Li	2018	arxiv 1811.06668
SurfConv: Bridging 3D and 2D Convolution for RGBD Images	Hang Chu, Wei-Chiu Ma, Kaustav Kundu	2018	arxiv 1812.01519
Future Segmentation Using 3D Structure	Suhani Vora, Reza Mahjourian, Soeren Pirk	2018	arxiv 1811.11358
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling	Christian S. Perone, Pedro Ballester, Rodrigo C. Barros	2018	arxiv 1811.06042
Real-Time Freespace Segmentation on Autonomous Robots for Detection of Obstacles and Drop-Offs	Anish Singhani	2019	arxiv 1902.00842
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles	Kashyap Chitta, Jose M. Alvarez, Adam Lesnikowski	2018	arxiv 1811.03575
Adversarial Pixel-Level Generation of Semantic Images	Emanuele Ghelfi, Paolo Galeone, Michele De Simoni	2019	arxiv 1906.12195
Object Segmentation using Pixel-wise Adversarial Loss	Ricard Durall, Franz-Josef Pfreundt, Ullrich Köthe	2019	arxiv 1909.10341
Learning Across Tasks and Domains	Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti	2019	arxiv 1904.04744
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation	Janis Postels, Francesco Ferroni, Huseyin Coskun	2019	arxiv 1908.00598

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