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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin |
| 2021 |
| arxiv 2105.05516 |
| Point Attention Network for Semantic Segmentation of 3D Point Clouds | Mingtao Feng, Liang Zhang, Xuefei Lin | 2019 | arxiv 1909.12663 |
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| Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation | Yuyang Zhao, Zhun Zhong, Na Zhao | 2022 | arxiv 2204.02548 |
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| Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation | Song Wang, Jianke Zhu, Ruixiang Zhang | 2022 | arxiv 2202.13377 |
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| Learning Modality-agnostic Representation for Semantic Segmentation from Any Modalities | Xu Zheng, Yuanhuiyi Lyu, Lin Wang | 2024 | arxiv 2407.11351 |
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| MUSTER: A Multi-scale Transformer-based Decoder for Semantic Segmentation | Jing Xu, Wentao Shi, Pan Gao | 2022 | arxiv 2211.13928 |
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| Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation | Jie Qin, Jie Wu, Xuefeng Xiao | 2021 | arxiv 2112.08996 |
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| C3: Concentrated-Comprehensive Convolution and its application to semantic segmentation | Hyojin Park, Youngjoon Yoo, Geonseok Seo | 2018 | arxiv 1812.04920 |
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| Hybrid Multiple Attention Network for Semantic Segmentation in Aerial Images | Ruigang Niu, Xian Sun, Yu Tian | 2020 | arxiv 2001.02870 |
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| Equirectangular image construction method for standard CNNs for Semantic Segmentation | Haoqian Chen, Jian Liu, Minghe Li | 2023 | arxiv 2310.09122 |
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| A Deep Semantic Segmentation Network with Semantic and Contextual Refinements | Zhiyan Wang, Deyin Liu, Lin Yuanbo Wu | 2024 | arxiv 2412.08671 |
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| Learning Open-vocabulary Semantic Segmentation Models From Natural Language Supervision | Jilan Xu, Junlin Hou, Yuejie Zhang | 2023 | arxiv 2301.09121 |
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