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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2023 |
| arxiv 2309.09183 |
| Frustratingly Easy Model Generalization by Dummy Risk Minimization | Juncheng Wang, Jindong Wang, Xixu Hu | 2023 | arxiv 2308.02287 |
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| ClusterFormer: Clustering As A Universal Visual Learner | James C. Liang, Yiming Cui, Qifan Wang | 2023 | arxiv 2309.13196 |
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| SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model | Di Wang, Jing Zhang, Bo Du | 2023 | arxiv 2305.02034 |
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| A Self-Supervised Approach to Land Cover Segmentation | Charles Moore, Dakota Hester | 2023 | arxiv 2310.18251 |
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| Towards In-context Scene Understanding | Ivana Balažević, David Steiner, Nikhil Parthasarathy | 2023 | arxiv 2306.01667 |
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| OneFormer3D: One Transformer for Unified Point Cloud Segmentation | Maxim Kolodiazhnyi, Anna Vorontsova, Anton Konushin | 2023 | arxiv 2311.14405 |
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| BenthIQ: a Transformer-Based Benthic Classification Model for Coral Restoration | Rupa Kurinchi-Vendhan, Drew Gray, Elijah Cole | 2023 | arxiv 2311.13661 |
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| Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds | Yujia Liu, Anton Obukhov, Jan Dirk Wegner | 2023 | arxiv 2312.04962 |
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| VirtualPainting: Addressing Sparsity with Virtual Points and Distance-Aware Data Augmentation for 3D Object Detection | Sudip Dhakal, Dominic Carrillo, Deyuan Qu | 2023 | arxiv 2312.16141 |
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| SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation | Zhengze Xu, Dongyue Wu, Changqian Yu | 2023 | arxiv 2312.17071 |
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