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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Pedram Fekri, Mehrdad Zadeh, Javad Dargahi |
| 2024 |
| arxiv 2501.00514 |
| DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images | Onur Tasar, Alain Giros, Yuliya Tarabalka | 2020 | arxiv 2005.06216 |
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| When Imbalance Comes Twice: Active Learning under Simulated Class Imbalance and Label Shift in Binary Semantic Segmentation | Julien Combes, Alexandre Derville, Jean-François Coeurjolly | 2026 | arxiv 2601.06209 |
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| ComUICoder: Component-based Reusable UI Code Generation for Complex Websites via Semantic Segmentation and Element-wise Feedback | Jingyu Xiao, Jiantong Qin, Shuoqi Li | 2026 | arxiv 2602.19276 |
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| Attention-gated U-Net model for semantic segmentation of brain tumors and feature extraction for survival prognosis | Rut Pate, Snehal Rajput, Mehul S. Raval | 2026 | arxiv 2602.15067 |
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| Multi-Modal Semantic Segmentation of Electrolyzer Components for Sustainable Hydrogen Technologies: A Dual-Branch Deep Learning Approach | Wasimul Karim, Nur Mohammad Fahad, Abdul Hasib Siddique | 2026 | arxiv 2607.16056 |
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| Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image | Lucy Nwosu, Xiangfang Li, Lijun Qian | 2022 | arxiv 2206.00002 |
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| Res-CR-Net, a residual network with a novel architecture optimized for the semantic segmentation of microscopy images | Hassan Abdallah, Asiri Liyanaarachchi, Maranda Saigh | 2020 | arxiv 2004.08246 |
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| SynDiff-AD: Improving Semantic Segmentation and End-to-End Autonomous Driving with Synthetic Data from Latent Diffusion Models | Harsh Goel, Sai Shankar Narasimhan, Oguzhan Akcin | 2024 | arxiv 2411.16776 |
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| Training CNN Classifiers for Semantic Segmentation using Partially Annotated Images: with Application on Human Thigh and Calf MRI | Chun Kit Wong, Stephanie Marchesseau, Maria Kalimeri | 2020 | arxiv 2008.07030 |
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| First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating Robustness of Vision Foundation Models for Semantic Segmentation | Tommie Kerssies, Daan de Geus, Gijs Dubbelman | 2024 | arxiv 2409.17208 |
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| From CAD models to soft point cloud labels: An automatic annotation pipeline for cheaply supervised 3D semantic segmentation | Galadrielle Humblot-Renaux, Simon Buus Jensen, Andreas M\ogelmose | 2023 | arxiv 2302.03114 |
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