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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Yuki Kondo, Norimichi Ukita, Takayuki Yamaguchi |
| 2023 |
| arxiv 2307.09143 |
| Evaluating Zero-cost Active Learning for Object Detection | Dominik Probst, Hasnain Raza, Erik Rodner | 2022 | arxiv 2212.04211 |
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| Deep Mixture Density Network for Probabilistic Object Detection | Yihui He, Jianren Wang | 2019 | arxiv 1911.10614 |
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| Pix2seq: A Language Modeling Framework for Object Detection | Ting Chen, Saurabh Saxena, Lala Li | 2021 | arxiv 2109.10852 |
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| Exploiting Sparsity in Automotive Radar Object Detection Networks | Marius Lippke, Maurice Quach, Sascha Braun | 2023 | arxiv 2308.07748 |
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| FasterVideo: Efficient Online Joint Object Detection And Tracking | Issa Mouawad, Francesca Odone | 2022 | arxiv 2204.07394 |
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| Towards High Performance Video Object Detection for Mobiles | Xizhou Zhu, Jifeng Dai, Xingchi Zhu | 2018 | arxiv 1804.05830 |
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| PETR: Position Embedding Transformation for Multi-View 3D Object Detection | Yingfei Liu, Tiancai Wang, Xiangyu Zhang | 2022 | arxiv 2203.05625 |
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| Object Detection with Pixel Intensity Comparisons Organized in Decision Trees | Nenad Markuš, Miroslav Frljak, Igor S. Pandžić | 2013 | arxiv 1305.4537 |
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| Exploiting Depth from Single Monocular Images for Object Detection and Semantic Segmentation | Yuanzhouhan Cao, Chunhua Shen, Heng Tao Shen | 2016 | arxiv 1610.01706 |
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