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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation |
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| Xinrong Hu, Yu-Jen Chen, Tsung-Yi Ho |
| 2023 |
| arxiv 2306.03878 |
| FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation | Amirhossein Kazerouni, Sanaz Karimijafarbigloo, Reza Azad | 2023 | arxiv 2311.13069 |
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| TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars | Quang Huy Che, Dinh Phuc Nguyen, Minh Quan Pham | 2023 | arxiv 2307.10705 |
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| Dense CNN Learning with Equivalent Mappings | Jianxin Wu, Chen-Wei Xie, Jian-Hao Luo | 2016 | arxiv 1605.07251 |
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| PixelNet: Towards a General Pixel-level Architecture | Aayush Bansal, Xinlei Chen, Bryan Russell | 2016 | arxiv 1609.06694 |
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| DeepUNet: A Deep Fully Convolutional Network for Pixel-level Sea-Land Segmentation | Ruirui Li, Wenjie Liu, Lei Yang | 2017 | arxiv 1709.00201 |
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| Leveraging Perceptual Scores for Dataset Pruning in Computer Vision Tasks | Raghavendra Singh | 2024 | arxiv 2408.07243 |
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| Learning Where to Look: Data-Driven Viewpoint Set Selection for 3D Scenes | Kyle Genova, Manolis Savva, Angel X. Chang | 2017 | arxiv 1704.02393 |
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| CNN-based Segmentation of Medical Imaging Data | Baris Kayalibay, Grady Jensen, Patrick van der Smagt | 2017 | arxiv 1701.03056 |
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| A Multicentric Dataset for Training and Benchmarking Breast Cancer Segmentation in H&E Slides | Carlijn Lems, Leslie Tessier, John-Melle Bokhorst | 2025 | arxiv 2510.02037 |
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