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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2024 |
| arxiv 2402.00692 |
| Squeeze-SegNet: A new fast Deep Convolutional Neural Network for Semantic Segmentation | Geraldin Nanfack, Azeddine Elhassouny, Rachid Oulad Haj Thami | 2017 | arxiv 1711.05491 |
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| Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation | Youngmin Oh, Beomjun Kim, Bumsub Ham | 2021 | arxiv 2104.00905 |
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| A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images | Irem Ulku, Erdem Akagunduz | 2019 | arxiv 1912.10230 |
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| Semantic Segmentation In-the-Wild Without Seeing Any Segmentation Examples | Nir Zabari, Yedid Hoshen | 2021 | arxiv 2112.03185 |
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| Generating Self-Guided Dense Annotations for Weakly Supervised Semantic Segmentation | Zi-Yi Ke, Chiou-Ting Hsu | 2018 | arxiv 1810.07050 |
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| MeT: A Graph Transformer for Semantic Segmentation of 3D Meshes | Giuseppe Vecchio, Luca Prezzavento, Carmelo Pino | 2023 | arxiv 2307.01115 |
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| Center-guided Classifier for Semantic Segmentation of Remote Sensing Images | Wei Zhang, Mengting Ma, Yizhen Jiang | 2025 | arxiv 2503.16963 |
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| Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation | Marvin Klingner, Andreas Bär, Tim Fingscheidt | 2020 | arxiv 2004.11072 |
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| Progressive Adversarial Semantic Segmentation | Abdullah-Al-Zubaer Imran, Demetri Terzopoulos | 2020 | arxiv 2005.04311 |
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| Cross-view Transformers for real-time Map-view Semantic Segmentation | Brady Zhou, Philipp Krähenbühl | 2022 | arxiv 2205.02833 |
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