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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models | Zixuan Chen, Junhong Zou, Xiaotao Wang | 2021 | arxiv 2109.01316 |
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| Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation | Gregory P. Meyer, Jake Charland, Darshan Hegde | 2019 | arxiv 1904.11466 |
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| DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation | Seungju Cho, Tae Joon Jun, Byungsoo Oh | 2019 | arxiv 1908.05195 |
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| Unsupervised Semantic Segmentation by Distilling Feature Correspondences | Mark Hamilton, Zhoutong Zhang, Bharath Hariharan | 2022 | arxiv 2203.08414 |
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| Multi-source Domain Adaptation for Semantic Segmentation | Sicheng Zhao, Bo Li, Xiangyu Yue | 2019 | arxiv 1910.12181 |
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| Unsupervised Model Adaptation for Continual Semantic Segmentation | Serban Stan, Mohammad Rostami | 2020 | arxiv 2009.12518 |
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| GFF: Gated Fully Fusion for Semantic Segmentation | Xiangtai Li, Houlong Zhao, Lei Han | 2019 | arxiv 1904.01803 |
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| WegFormer: Transformers for Weakly Supervised Semantic Segmentation | Chunmeng Liu, Enze Xie, Wenjia Wang | 2022 | arxiv 2203.08421 |
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| VDD: Varied Drone Dataset for Semantic Segmentation | Wenxiao Cai, Ke Jin, Jinyan Hou | 2023 | arxiv 2305.13608 |
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| SSformer: A Lightweight Transformer for Semantic Segmentation | Wentao Shi, Jing Xu, Pan Gao | 2022 | arxiv 2208.02034 |
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