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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
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote SensingGaston Lenczner, Adrien Chan-Hon-Tong, Bertrand Le Saux2022arxiv 2201.01047
Source Domain Subset Sampling for Semi-Supervised Domain Adaptation in Semantic SegmentationDaehan Kim, Minseok Seo, Jinsun Park2022arxiv 2205.00312
CNN based Intelligent Streetlight Management Using Smart CCTV Camera and Semantic SegmentationMd Sakib Ullah Sourav, Huidong Wang, Mohammad Raziuddin Chowdhury2022arxiv 2209.08633
PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic SegmentationMingyang Jiang, Yiran Wu, Tianqi Zhao2018arxiv 1807.00652
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic SegmentationUmberto Michieli, Matteo Biasetton, Gianluca Agresti2019arxiv 1909.00781
Automatic semantic segmentation for prediction of tuberculosis using lens-free microscopy imagesDennis Núñez-Fernández, Lamberto Ballan, Gabriel Jiménez-Avalos2020arxiv 2007.02482
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial RobustnessMd Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis2020arxiv 2008.05667
eX-ViT: A Novel eXplainable Vision Transformer for Weakly Supervised Semantic SegmentationLu Yu, Wei Xiang, Juan Fang2022arxiv 2207.05358
Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic SegmentationJintao Tong, Ran Ma, Yixiong Zou2025arxiv 2506.07376
GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic SegmentationZiya Ata Yaz\ic\i, \.Ilkay Öksüz, Haz\im Kemal Ekenel2024arxiv 2404.17854
PiPa++: Towards Unification of Domain Adaptive Semantic Segmentation via Self-supervised LearningMu Chen, Zhedong Zheng, Yi Yang2024arxiv 2407.17101
A Semantic Segmentation Approach on Sweet Orange Leaf Diseases Detection Utilizing YOLOSabit Ahamed Preanto, Md. Taimur Ahad, Yousuf Rayhan Emon2024arxiv 2409.06671
Temporal Fusion Based Mutli-scale Semantic Segmentation for Detecting Concealed Baggage ThreatsMuhammed Shafay, Taimur Hassan, Ernesto Damiani2021arxiv 2111.02651
Weakly supervised training of universal visual concepts for multi-domain semantic segmentationPetra Bevandić, Marin Oršić, Ivan Grubišić2022arxiv 2212.10340
Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic SegmentationYulei Lu, Yawei Luo, Li Zhang2022arxiv 2204.07730
Deep Semantic Segmentation at the Edge for Autonomous Navigation in Vineyard RowsDiego Aghi, Simone Cerrato, Vittorio Mazzia2021arxiv 2107.00700
Loss Functions in the Era of Semantic Segmentation: A Survey and OutlookReza Azad, Moein Heidary, Kadir Yilmaz2023arxiv 2312.05391
Semantic segmentation on multi-resolution optical and microwave data using deep learningJai G Singla, Bakul Vaghela2024arxiv 2411.07581
Efficient Adaptation of Deep Neural Networks for Semantic Segmentation in Space ApplicationsLeonardo Olivi, Edoardo Santero Mormile, Enzo Tartaglione2025arxiv 2504.15991
Semi-Supervised Semantic Segmentation using Redesigned Self-Training for White Blood CellsVinh Quoc Luu, Duy Khanh Le, Huy Thanh Nguyen2024arxiv 2401.07278