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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Yan Liu, Qingyong Hu, Yinjie Lei |
| 2022 |
| arxiv 2201.02963 |
| Deep Leaning-Based Ultra-Fast Stair Detection | Chen Wang, Zhongcai Pei, Shuang Qiu | 2022 | arxiv 2201.05275 |
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| Active Visuo-Tactile Interactive Robotic Perception for Accurate Object Pose Estimation in Dense Clutter | Prajval Kumar Murali, Anirvan Dutta, Michael Gentner | 2022 | arxiv 2202.02207 |
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| StandardSim: A Synthetic Dataset For Retail Environments | Cristina Mata, Nick Locascio, Mohammed Azeem Sheikh | 2022 | arxiv 2202.02418 |
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| MCDAL: Maximum Classifier Discrepancy for Active Learning | Jae Won Cho, Dong-Jin Kim, Yunjae Jung | 2021 | arxiv 2107.11049 |
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| Vector Quantized Bayesian Neural Network Inference for Data Streams | Namuk Park, Taekyu Lee, Songkuk Kim | 2019 | arxiv 1907.05911 |
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| Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models | Xiaofang Wang, Dan Kondratyuk, Eric Christiansen | 2020 | arxiv 2012.01988 |
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| ReSTR: Convolution-free Referring Image Segmentation Using Transformers | Namyup Kim, Dongwon Kim, Cuiling Lan | 2022 | arxiv 2203.16768 |
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| RGB-D Semantic SLAM for Surgical Robot Navigation in the Operating Room | Cong Gao, Dinesh Rabindran, Omid Mohareri | 2022 | arxiv 2204.05467 |
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| NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night | Xueqing Deng, Peng Wang, Xiaochen Lian | 2022 | arxiv 2204.05538 |
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