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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Bill Cai, Xiaojiang Li, Carlo Ratti |
| 2019 |
| arxiv 1912.02109 |
| Mean Field inference of CRFs based on GAT | LingHong Xing, XiangXiang Ma, GuangSheng Luo | 2022 | arxiv 2205.15312 |
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| Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks | Miquel Martí i Rabadán, Alessandro Pieropan, Hossein Azizpour | 2022 | arxiv 2210.09919 |
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| Region-Based Representations Revisited | Michal Shlapentokh-Rothman, Ansel Blume, Yao Xiao | 2024 | arxiv 2402.02352 |
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| OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks | Sophia Sirko-Galouchenko, Alexandre Boulch, Spyros Gidaris | 2024 | arxiv 2404.14027 |
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| Deformable-Heatmap-Segmentation for Automobile Visual Perception | Hongyu Jin | 2024 | arxiv 2407.07493 |
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| Local-to-Global Self-Attention in Vision Transformers | Jinpeng Li, Yichao Yan, Shengcai Liao | 2021 | arxiv 2107.04735 |
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| Recyclable Semi-supervised Method Based on Multi-model Ensemble for Video Scene Parsing | Biao Wu, Shaoli Liu, Diankai Zhang | 2023 | arxiv 2306.02894 |
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| Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference | Aishwarya Unnikrishnan, Joey Wilson, Lu Gan | 2021 | arxiv 2108.03180 |
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| Harmonic Convolutional Networks based on Discrete Cosine Transform | Matej Ulicny, Vladimir A. Krylov, Rozenn Dahyot | 2020 | arxiv 2001.06570 |
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