Research

Papers for “semantic segmentation”

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

Title	Authors	Year	Source
Open-Vocabulary Domain Generalization in Urban-Scene Segmentation	Dong Zhao, Qi Zang, Nan Pu	2026	arxiv 2602.18853
End-to-end speaker diarization with transformer	Yongquan Lai, Xin Tang, Yuanyuan Fu	2021	arxiv 2112.07463
Adversarially robust segmentation models learn perceptually-aligned gradients	Pedro Sandoval-Segura	2022	arxiv 2204.01099
Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data	Mina Rezaei, Haojin Yang, Christoph Meinel	2018	arxiv 1811.10419
I Can See Clearly Now : Image Restoration via De-Raining	Horia Porav, Tom Bruls, Paul Newman	2019	arxiv 1901.00893
Self-supervised Domain Adaptation for Computer Vision Tasks	Jiaolong Xu, Liang Xiao, Antonio M. Lopez	2019	arxiv 1907.10915
DGST : Discriminator Guided Scene Text detector	Jinyuan Zhao, Yanna Wang, Baihua Xiao	2020	arxiv 2002.12509
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss	Jiabo He, Sarah Erfani, Sudanthi Wijewickrema	2020	arxiv 2009.10987
MARNet: Multi-Abstraction Refinement Network for 3D Point Cloud Analysis	Rahul Chakwate, Arulkumar Subramaniam, Anurag Mittal	2020	arxiv 2011.00923
News Cover Assessment via Multi-task Learning	Zixun Sun, Shuang Zhao, Chengwei Zhu	2019	arxiv 1907.07581
A comparative study of attention mechanism and generative adversarial network in facade damage segmentation	Fangzheng Lin, Jiesheng Yang, Jiangpeng Shu	2022	arxiv 2209.13283
ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds	Binbin Xiang, Maciej Wielgosz, Stefano Puliti	2025	arxiv 2506.16991
Guided Model-based LiDAR Super-Resolution for Resource-Efficient Automotive scene Segmentation	Alexandros Gkillas, Nikos Piperigkos, Aris S. Lalos	2025	arxiv 2509.01317
HawkDrive: A Transformer-driven Visual Perception System for Autonomous Driving in Night Scene	Ziang Guo, Stepan Perminov, Mikhail Konenkov	2024	arxiv 2404.04653
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data	Laura Elena Cué La Rosa, Camile Sothe, Raul Queiroz Feitosa	2021	arxiv 2106.00799
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding	Alex Kendall, Vijay Badrinarayanan, Roberto Cipolla	2015	arxiv 1511.02680
Global-Local Medical SAM Adaptor Based on Full Adaption	Meng Wang, Yarong Feng, Yongwei Tang	2024	arxiv 2409.17486
Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning	Hoàng-Ân Lê, Paul Berg, Minh-Tan Pham	2024	arxiv 2411.17536
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes	Hoang-An Le, Thomas Mensink, Partha Das	2020	arxiv 2011.04389
Adaptive Intermediate Representations for Video Understanding	Juhana Kangaspunta, AJ Piergiovanni, Rico Jonschkowski	2021	arxiv 2104.07135

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