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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation | Aoran Xiao, Xiaofei Yang, Shijian Lu | 2021 | arxiv 2103.00738 |
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| DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models | Weijia Wu, Yuzhong Zhao, Hao Chen | 2023 | arxiv 2308.06160 |
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| Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior | Kaihao Zhang, Wenhan Luo, Yanjiang Yu | 2021 | arxiv 2105.03830 |
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| Learning Rich Representations For Structured Visual Prediction Tasks | Mohammadreza Mostajabi | 2019 | arxiv 1908.11820 |
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| Dynamic Multi-Context Segmentation of Remote Sensing Images based on Convolutional Networks | Keiller Nogueira, Mauro Dalla Mura, Jocelyn Chanussot | 2018 | arxiv 1804.04020 |
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| Model-aware 3D Eye Gaze from Weak and Few-shot Supervisions | Nikola Popovic, Dimitrios Christodoulou, Danda Pani Paudel | 2023 | arxiv 2311.12157 |
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| Securing Neural Networks with Knapsack Optimization | Yakir Gorski, Amir Jevnisek, Shai Avidan | 2023 | arxiv 2304.10442 |
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| Harnessing Diffusion Models for Visual Perception with Meta Prompts | Qiang Wan, Zilong Huang, Bingyi Kang | 2023 | arxiv 2312.14733 |
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| Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO | Fuseini Mumuni, Alhassan Mumuni | 2024 | arxiv 2406.19057 |
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| P-MSDiff: Parallel Multi-Scale Diffusion for Remote Sensing Image Segmentation | Qi Zhang, Guohua Geng, Longquan Yan | 2024 | arxiv 2405.20443 |
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