Research

Papers for “semantic segmentation”

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

Title	Authors	Year	Source
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates	Valerio Marsocci, Nicolas Gonthier, Anatol Garioud	2023	arxiv 2304.07750
LUAI Challenge 2021 on Learning to Understand Aerial Images	Gui-Song Xia, Jian Ding, Ming Qian	2021	arxiv 2108.13246
Proposal-free Lidar Panoptic Segmentation with Pillar-level Affinity	Qi Chen, Sourabh Vora	2022	arxiv 2204.08744
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes	Jose L. Gómez, Manuel Silva, Antonio Seoane	2023	arxiv 2312.12176
Fully Connected Deep Structured Networks	Alexander G. Schwing, Raquel Urtasun	2015	arxiv 1503.02351
Semantic Video Segmentation : Exploring Inference Efficiency	Subarna Tripathi, Serge Belongie, Youngbae Hwang	2015	arxiv 1509.02441
Pointwise Convolutional Neural Networks	Binh-Son Hua, Minh-Khoi Tran, Sai-Kit Yeung	2017	arxiv 1712.05245
Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet	Kodai Hirata, Tsuyoshi Okita	2025	arxiv 2505.06185
Model Doctor for Diagnosing and Treating Segmentation Error	Zhijie Jia, Lin Chen, Kaiwen Hu	2023	arxiv 2302.08980
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis	Mang Tik Chiu, Xingqian Xu, Yunchao Wei	2020	arxiv 2001.01306
Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation	Christos Sakaridis, Dengxin Dai, Luc Van Gool	2019	arxiv 1901.05946
Background-Aware 3D Point Cloud Segmentationwith Dynamic Point Feature Aggregation	Jiajing Chen, Burak Kakillioglu, Senem Velipasalar	2021	arxiv 2111.07248
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfer	Guanqun Ding, Nevrez Imamoglu, Ali Caglayan	2023	arxiv 2308.14332
Exploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification	Ricardo Pereira, Luís Garrote, Tiago Barros	2024	arxiv 2404.07739
MagicSeg: Open-World Segmentation Pretraining via Counterfactural Diffusion-Based Auto-Generation	Kaixin Cai, Pengzhen Ren, Jianhua Han	2026	arxiv 2603.19575
Estimating friction coefficient using generative modelling	Mohammad Otoofi, William J.B. Midgley, Leo Laine	2023	arxiv 2303.05927
Three for one and one for three: Flow, Segmentation, and Surface Normals	Hoang-An Le, Anil S. Baslamisli, Thomas Mensink	2018	arxiv 1807.07473
Convolutional Neural Networks based automated segmentation and labelling of the lumbar spine X-ray	Sandor Konya, Sai Natarajan T R, Hassan Allouch	2020	arxiv 2004.03364
The 1st Agriculture-Vision Challenge: Methods and Results	Mang Tik Chiu, Xingqian Xu, Kai Wang	2020	arxiv 2004.09754
U-net super-neural segmentation and similarity calculation to realize vegetation change assessment in satellite imagery	Chunxue Wu, Bobo Ju, Naixue Xiong	2019	arxiv 1909.04410

Search results