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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| AttrSeg: Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation |
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| Chaofan Ma, Yuhuan Yang, Chen Ju |
| 2023 |
| arxiv 2309.00096 |
| Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation | Ruihuang Li, Shuai Li, Chenhang He | 2022 | arxiv 2203.09744 |
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| TransCAM: Transformer Attention-based CAM Refinement for Weakly Supervised Semantic Segmentation | Ruiwen Li, Zheda Mai, Chiheb Trabelsi | 2022 | arxiv 2203.07239 |
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| PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers | Jiacong Xu, Zixiang Xiong, Shankar P. Bhattacharyya | 2022 | arxiv 2206.02066 |
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| Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation | Omid Hosseini Jafari, Oliver Groth, Alexander Kirillov | 2017 | arxiv 1702.08009 |
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| Multi-class Semantic Segmentation of Skin Lesions via Fully Convolutional Networks | Manu Goyal, Moi Hoon Yap, Saeed Hassanpour | 2017 | arxiv 1711.10449 |
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| Tackling the Problem of Limited Data and Annotations in Semantic Segmentation | Ahmadreza Jeddi | 2020 | arxiv 2007.07357 |
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| Holistic Decomposition Convolution for Effective Semantic Segmentation of 3D MR Images | Guodong Zeng, Guoyan Zheng | 2018 | arxiv 1812.09834 |
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| Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes | Qi Wang, Junyu Gao, Xuelong Li | 2019 | arxiv 1904.09092 |
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| Learning to adapt class-specific features across domains for semantic segmentation | Mikel Menta, Adriana Romero, Joost van de Weijer | 2020 | arxiv 2001.08311 |
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