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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2026 |
| arxiv 2602.14134 |
| Remembering by Reconstructing: Domain Incremental Learning With Test-Time Training on Video Streams | Jonathan Swinnen, Tinne Tuytelaars | 2026 | arxiv 2605.31108 |
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| Learning Stable Canonical Worlds for Novel View Synthesis and Beyond | Xiaoyu Xu, Jian Zou, Sheyang Tang | 2026 | arxiv 2606.23027 |
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| Federated Multi-Target Domain Adaptation | Chun-Han Yao, Boqing Gong, Yin Cui | 2021 | arxiv 2108.07792 |
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| Concurrent Discrimination and Alignment for Self-Supervised Feature Learning | Anjan Dutta, Massimiliano Mancini, Zeynep Akata | 2021 | arxiv 2108.08562 |
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| mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets | Rui Gong, Dengxin Dai, Yuhua Chen | 2020 | arxiv 2012.08385 |
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| Semantic Dense Reconstruction with Consistent Scene Segments | Yingcai Wan, Yanyan Li, Yingxuan You | 2021 | arxiv 2109.14821 |
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| Self-Supervised Representation Learning from Flow Equivariance | Yuwen Xiong, Mengye Ren, Wenyuan Zeng | 2021 | arxiv 2101.06553 |
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| Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation | Kürsat Petek, Kshitij Sirohi, Daniel Büscher | 2021 | arxiv 2110.10563 |
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| Leveraging Class Hierarchies with Metric-Guided Prototype Learning | Vivien Sainte Fare Garnot, Loic Landrieu | 2020 | arxiv 2007.03047 |
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| ILabel: Interactive Neural Scene Labelling | Shuaifeng Zhi, Edgar Sucar, Andre Mouton | 2021 | arxiv 2111.14637 |
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