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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation | Guanglei Yang, Enrico Fini, Dan Xu | 2022 | arxiv 2203.14098 |
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| Dynamic Focus-aware Positional Queries for Semantic Segmentation | Haoyu He, Jianfei Cai, Zizheng Pan | 2022 | arxiv 2204.01244 |
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| Correlation Maximized Structural Similarity Loss for Semantic Segmentation | Shuai Zhao, Boxi Wu, Wenqing Chu | 2019 | arxiv 1910.08711 |
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| Weakly Supervised Semantic Segmentation via Progressive Patch Learning | Jinlong Li, Zequn Jie, Xu Wang | 2022 | arxiv 2209.07828 |
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| Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning | Hanzhe Hu, Fangyun Wei, Han Hu | 2021 | arxiv 2110.05474 |
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| Hierarchical semantic segmentation using modular convolutional neural networks | Sagi Eppel | 2017 | arxiv 1710.05126 |
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| Depth Adaptive Deep Neural Network for Semantic Segmentation | Byeongkeun Kang, Yeejin Lee, Truong Q. Nguyen | 2017 | arxiv 1708.01818 |
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| Semantic Segmentation via Pixel-to-Center Similarity Calculation | Dongyue Wu, Zilin Guo, Aoyan Li | 2023 | arxiv 2301.04870 |
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| An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation | Biao Gao, Xijun Zhao, Huijing Zhao | 2022 | arxiv 2202.09002 |
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| Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images | Abhishek Jha, Yogesh Rawat, Shruti Vyas | 2024 | arxiv 2404.13693 |
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