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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Dev Khare, N S Kamal, Barathi Ganesh HB |
| 2021 |
| arxiv 2112.09844 |
| Exploring 2D Data Augmentation for 3D Monocular Object Detection | Sugirtha T, Sridevi M, Khailash Santhakumar | 2021 | arxiv 2104.10786 |
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| MonoGRNet: A General Framework for Monocular 3D Object Detection | Zengyi Qin, Jinglu Wang, Yan Lu | 2021 | arxiv 2104.08797 |
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| Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications | Hankyul Baek, Donghyeon Kim, Joongheon Kim | 2023 | arxiv 2401.01370 |
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| Extended Feature Pyramid Network for Small Object Detection | Chunfang Deng, Mengmeng Wang, Liang Liu | 2020 | arxiv 2003.07021 |
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| Adaptive Object Detection with Dual Multi-Label Prediction | Zhen Zhao, Yuhong Guo, Haifeng Shen | 2020 | arxiv 2003.12943 |
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| Cross-Modality Fusion Transformer for Multispectral Object Detection | Fang Qingyun, Han Dapeng, Wang Zhaokui | 2021 | arxiv 2111.00273 |
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| DOTA: A Large-scale Dataset for Object Detection in Aerial Images | Gui-Song Xia, Xiang Bai, Jian Ding | 2017 | arxiv 1711.10398 |
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| UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking | Longyin Wen, Dawei Du, Zhaowei Cai | 2015 | arxiv 1511.04136 |
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| Comprehensive Analysis of the Object Detection Pipeline on UAVs | Leon Amadeus Varga, Sebastian Koch, Andreas Zell | 2022 | arxiv 2203.00306 |
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