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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Claudio Michaelis, Benjamin Mitzkus, Robert Geirhos |
| 2019 |
| arxiv 1907.07484 |
| Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection | Yue Wang, Alireza Fathi, Jiajun Wu | 2020 | arxiv 2009.11859 |
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| Learned Fusion: 3D Object Detection using Calibration-Free Transformer Feature Fusion | Michael Fürst, Rahul Jakkamsetty, René Schuster | 2023 | arxiv 2312.09082 |
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| Algorithmic Ways of Seeing: Using Object Detection to Facilitate Art Exploration | Louie S\os Meyer, Johanne Engel Aaen, Anitamalina Regitse Tranberg | 2024 | arxiv 2403.19174 |
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| DeepMix: Mobility-aware, Lightweight, and Hybrid 3D Object Detection for Headsets | Yongjie Guan, Xueyu Hou, Nan Wu | 2022 | arxiv 2201.08812 |
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| UnitModule: A Lightweight Joint Image Enhancement Module for Underwater Object Detection | Zhuoyan Liu, Bo Wang, Ye Li | 2023 | arxiv 2309.04708 |
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| SOD-YOLOv8 -- Enhancing YOLOv8 for Small Object Detection in Traffic Scenes | Boshra Khalili, Andrew W.Smyth | 2024 | arxiv 2408.04786 |
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| Robustness of Object Detection of Autonomous Vehicles in Adverse Weather Conditions | Fox Pettersen, Hong Zhu | 2026 | arxiv 2602.12902 |
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| Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection | Na Zhao, Gim Hee Lee | 2021 | arxiv 2112.07241 |
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| Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds | Li Wang, Dawei Zhao, Tao Wu | 2020 | arxiv 2005.02696 |
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