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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Normalization in Training U-Net for 2D Biomedical Semantic Segmentation |
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| Xiao-Yun Zhou, Guang-Zhong Yang |
| 2018 |
| arxiv 1809.03783 |
| Enhanced Generative Data Augmentation for Semantic Segmentation via Stronger Guidance | Quang-Huy Che, Duc-Tri Le, Bich-Nga Pham | 2024 | arxiv 2409.06002 |
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| Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds | Jinxian Liu, Minghui Yu, Bingbing Ni | 2020 | arxiv 2007.13344 |
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| SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud | Neng Wang, Ruibin Guo, Chenghao Shi | 2024 | arxiv 2406.16279 |
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| Learning Debiased and Disentangled Representations for Semantic Segmentation | Sanghyeok Chu, Dongwan Kim, Bohyung Han | 2021 | arxiv 2111.00531 |
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| Structured Consistency Loss for semi-supervised semantic segmentation | Jongmok Kim, Jooyoung Jang, Hyunwoo Park | 2020 | arxiv 2001.04647 |
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| S4-Net: Geometry-Consistent Semi-Supervised Semantic Segmentation | Sinisa Stekovic, Friedrich Fraundorfer, Vincent Lepetit | 2018 | arxiv 1812.10717 |
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| DSSLIC: Deep Semantic Segmentation-based Layered Image Compression | Mohammad Akbari, Jie Liang, Jingning Han | 2018 | arxiv 1806.03348 |
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| Asymmetric Non-local Neural Networks for Semantic Segmentation | Zhen Zhu, Mengde Xu, Song Bai | 2019 | arxiv 1908.07678 |
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| ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation | Di Lin, Jifeng Dai, Jiaya Jia | 2016 | arxiv 1604.05144 |
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