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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Scarlett Raine, Ross Marchant, Brano Kusy |
| 2022 |
| arxiv 2202.13487 |
| Texture Learning Domain Randomization for Domain Generalized Segmentation | Sunghwan Kim, Dae-hwan Kim, Hoseong Kim | 2023 | arxiv 2303.11546 |
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| RevColV2: Exploring Disentangled Representations in Masked Image Modeling | Qi Han, Yuxuan Cai, Xiangyu Zhang | 2023 | arxiv 2309.01005 |
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| Adversarial Networks for the Detection of Aggressive Prostate Cancer | Simon Kohl, David Bonekamp, Heinz-Peter Schlemmer | 2017 | arxiv 1702.08014 |
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| Dense Contrastive Learning for Self-Supervised Visual Pre-Training | Xinlong Wang, Rufeng Zhang, Chunhua Shen | 2020 | arxiv 2011.09157 |
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| NERVE: Neighbourhood & Entropy-guided Random-walk for training free open-Vocabulary sEgmentation | Kunal Mahatha, Jose Dolz, Christian Desrosiers | 2025 | arxiv 2511.08248 |
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| ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals | Shihong Fang, Haoran Zhu, Devansh Bisla | 2022 | arxiv 2209.12940 |
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| Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation | Prantik Howlader, Hieu Le, Dimitris Samaras | 2024 | arxiv 2407.12630 |
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| The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs | Jonathan Sauder, Viktor Domazetoski, Guilhem Banc-Prandi | 2025 | arxiv 2503.20000 |
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| A Modern ConvNet for Solar Filament Detection | J. R. Hu, Q. Hao, Z. Zheng | 2026 | arxiv 2607.24525 |
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| Weakly Supervised Few-Shot Segmentation Via Meta-Learning | Pedro H. T. Gama, Hugo Oliveira, José Marcato Junior | 2021 | arxiv 2109.01693 |
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