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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Antonio Di Pilato, Nicolò Taggio, Alexis Pompili |
| 2021 |
| arxiv 2107.06132 |
| Image Manipulation Detection by Multi-View Multi-Scale Supervision | Xinru Chen, Chengbo Dong, Jiaqi Ji | 2021 | arxiv 2104.06832 |
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| BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation | Thanh-Dat Truong, Chi Nhan Duong, Ngan Le | 2021 | arxiv 2108.03267 |
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| LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices | Radu Alexandru Rosu, Peer Schütt, Jan Quenzel | 2021 | arxiv 2108.03917 |
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| Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles | Simon Bultmann, Jan Quenzel, Sven Behnke | 2021 | arxiv 2108.06608 |
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| Survey on Semantic Stereo Matching / Semantic Depth Estimation | Viny Saajan Victor, Peter Neigel | 2021 | arxiv 2109.10123 |
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| Learning to Navigate Under Imperfect Perception: Conformalised Segmentation for Safe Reinforcement Learning | Daniel Bethell, Simos Gerasimou, Radu Calinescu | 2025 | arxiv 2510.18485 |
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| Building and Road Segmentation Using EffUNet and Transfer Learning Approach | Sahil Gangurde | 2023 | arxiv 2307.03980 |
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| RecolorCloud: A Point Cloud Tool for Recoloring, Segmentation, and Conversion | Esteban Segarra Martinez, Ryan P. McMahan | 2023 | arxiv 2310.12470 |
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| 3D-DEEP: 3-Dimensional Deep-learning based on elevation patterns forroad scene interpretation | A. Hernández, S. Woo, H. Corrales | 2020 | arxiv 2009.00330 |
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| SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene Understanding | Hermann Blum, Marcus G. Müller, Abel Gawel | 2022 | arxiv 2206.10670 |
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