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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
Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted UltrasoundGijs Luijten, Roberto Maria Scardigno, Lisle Faray de Paiva2025arxiv 2506.23721
DAS-SK: An Adaptive Model Integrating Dual Atrous Separable and Selective Kernel CNN for Agriculture Semantic SegmentationMei Ling Chee, Thangarajah Akilan, Aparna Ravindra Phalke2026arxiv 2602.08168
Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic SegmentationChunfeng Song, Yan Huang, Wanli Ouyang2019arxiv 1904.11693
GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic SegmentationWeiming Zhang, Yexin Liu, Xu Zheng2024arxiv 2403.16370
A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language ModelsManuel Schwonberg, Claus Werner, Hanno Gottschalk2024arxiv 2411.16407
A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in Electron Tomography of Catalytic MaterialsArda Genc, Libor Kovarik, Hamish L. Fraser2022arxiv 2201.07342
A Novel Approach to Tomato Harvesting Using a Hybrid Gripper with Semantic Segmentation and Keypoint DetectionShahid Ansari, Mahendra Kumar Gohil, Yusuke Maeda2025arxiv 2512.03684
Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent SearchPrashant Pandey, Aayush Kumar Tyagi, Sameer Ambekar2020arxiv 2006.08696
Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological imagesAndré Pedersen, Erik Smistad, Tor V. Rise2021arxiv 2112.03455
Snowy Night-to-Day Translator and Semantic Segmentation Label Similarity for Snow Hazard IndicatorTakato Yasuno, Hiroaki Sugawara, Junichiro Fujii2021arxiv 2103.00545
Causal-Tune: Mining Causal Factors from Vision Foundation Models for Domain Generalized Semantic SegmentationYin Zhang, Yongqiang Zhang, Yaoyue Zheng2025arxiv 2512.16567
Morphological Operation Residual Blocks: Enhancing 3D Morphological Feature Representation in Convolutional Neural Networks for Semantic Segmentation of Medical ImagesChentian Li, Chi Ma, William W. Lu2021arxiv 2103.04026
Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch AttacksFederico Nesti, Giulio Rossolini, Saasha Nair2021arxiv 2108.06179
MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic SegmentationQi Zhao, Shuchang Lyu, Wenpei Bai2022arxiv 2207.06799
Characterization of Semantic Segmentation Models on Mobile Platforms for Self-Navigation in Disaster-Struck ZonesRyan Zelek, Hyeran Jeon2022arxiv 2202.01421
To pretrain or not to pretrain? A case study of domain-specific pretraining for semantic segmentation in histopathologyTushar Kataria, Beatrice Knudsen, Shireen Elhabian2023arxiv 2307.03275
Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student AttentionShanwen Wang, Xin Sun, Changrui Chen2025arxiv 2501.10736
Class-Aware Permutation-Invariant Signal-to-Distortion Ratio for Semantic Segmentation of Sound Scene with Same-Class SourcesBinh Thien Nguyen, Masahiro Yasuda, Daiki Takeuchi2026arxiv 2601.22504
Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology ImagesRaja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza2023arxiv 2301.13141
When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic SegmentationZiyang Wang, Tianze Li, Jian-Qing Zheng2022arxiv 2208.06449