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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2024 |
| arxiv 2404.06124 |
| MFPNet: Multi-scale Feature Propagation Network For Lightweight Semantic Segmentation | Guoan Xu, Wenjing Jia, Tao Wu | 2023 | arxiv 2309.04914 |
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| Deep feature selection-and-fusion for RGB-D semantic segmentation | Yuejiao Su, Yuan Yuan, Zhiyu Jiang | 2021 | arxiv 2105.04102 |
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| SegSplat: Feed-forward Gaussian Splatting and Open-Set Semantic Segmentation | Peter Siegel, Federico Tombari, Marc Pollefeys | 2025 | arxiv 2511.18386 |
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| I2CKD : Intra- and Inter-Class Knowledge Distillation for Semantic Segmentation | Ayoub Karine, Thibault Napoléon, Maher Jridi | 2024 | arxiv 2403.18490 |
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| RECALL: Replay-based Continual Learning in Semantic Segmentation | Andrea Maracani, Umberto Michieli, Marco Toldo | 2021 | arxiv 2108.03673 |
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| Random Ferns for Semantic Segmentation of PolSAR Images | Pengchao Wei, Ronny Hänsch | 2022 | arxiv 2202.03498 |
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| Balancing Logit Variation for Long-tailed Semantic Segmentation | Yuchao Wang, Jingjing Fei, Haochen Wang | 2023 | arxiv 2306.02061 |
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| Light-Weight RefineNet for Real-Time Semantic Segmentation | Vladimir Nekrasov, Chunhua Shen, Ian Reid | 2018 | arxiv 1810.03272 |
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| Knowledge Distillation for Incremental Learning in Semantic Segmentation | Umberto Michieli, Pietro Zanuttigh | 2019 | arxiv 1911.03462 |
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| Residual Pyramid Learning for Single-Shot Semantic Segmentation | Xiaoyu Chen, Xiaotian Lou, Lianfa Bai | 2019 | arxiv 1903.09746 |
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