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Papers for “semantic segmentation”

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

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TitleAuthorsYearSource
Geometric Flood Depth Estimation: Fusing Transformer-Based Segmentation with Digital Elevation ModelsNhut Le, Ehsan Karimi, Maryam Rahnemoonfar2026arxiv 2605.08521
VLRC: Vision-Language Reprojection Consistency as a scalable signal for better feed-forward 3D pretrainingMarwane Hariat, David Filliat, Antoine Manzanera2026arxiv 2607.02707
Retrieval and Localization with Observation ConstraintsYuhao Zhou, Huanhuan Fan, Shuang Gao2021arxiv 2108.08516
3D Human Pose Estimation with Spatial and Temporal TransformersCe Zheng, Sijie Zhu, Matias Mendieta2021arxiv 2103.10455
Learning to Segment Medical Images from Few-Shot Sparse LabelsPedro H. T. Gama, Hugo Oliveira, Jefersson A. dos Santos2021arxiv 2108.05476
KITTI-CARLA: a KITTI-like dataset generated by CARLA SimulatorJean-Emmanuel Deschaud2021arxiv 2109.00892
Quadruple Augmented Pyramid Network for Multi-class COVID-19 Segmentation via CTZiyang Wang, Irina Voiculescu2021arxiv 2103.05546
Hypercorrelation Squeeze for Few-Shot SegmentationJuhong Min, Dahyun Kang, Minsu Cho2021arxiv 2104.01538
Adversarial Attacks on Multi-task Visual Perception for Autonomous DrivingIbrahim Sobh, Ahmed Hamed, Varun Ravi Kumar2021arxiv 2107.07449
Diffusion Models for Implicit Image Segmentation EnsemblesJulia Wolleb, Robin Sandkühler, Florentin Bieder2021arxiv 2112.03145
Dilated deeply supervised networks for hippocampus segmentation in MRILukas Folle, Sulaiman Vesal, Nishant Ravikumar2019arxiv 1903.09097
Class Balanced PixelNet for Neurological Image SegmentationMobarakol Islam, Hongliang Ren2022arxiv 2204.11048
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classificationMauricio Mendez-Ruiz, Francisco Lopez-Tiro, Jonathan El-Beze2022arxiv 2205.00895
Visual Similarity AttentionMeng Zheng, Srikrishna Karanam, Terrence Chen2019arxiv 1911.07381
MulT: An End-to-End Multitask Learning TransformerDeblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk2022arxiv 2205.08303
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution AlignmentsXiaogang Xu, Hengshuang Zhao, Philip Torr2022arxiv 2212.05387
Meta Omnium: A Benchmark for General-Purpose Learning-to-LearnOndrej Bohdal, Yinbing Tian, Yongshuo Zong2023arxiv 2305.07625
TrueDeep: A systematic approach of crack detection with less dataRam Krishna Pandey, Akshit Achara2023arxiv 2305.19088
Spatially-Adaptive Filter Units for Deep Neural NetworksDomen Tabernik, Matej Kristan, Aleš Leonardis2017arxiv 1711.11473
Road Extraction by Deep Residual U-NetZhengxin Zhang, Qingjie Liu, Yunhong Wang2017arxiv 1711.10684