SOTA2 Research · papers

Papers for “semantic segmentation”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

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20 indexed

Title	Authors	Year	Source
A Dynamic Keypoints Selection Network for 6DoF Pose Estimation	Haowen Sun, Taiyong Wang	2021	arxiv 2110.12401
Combining visibility analysis and deep learning for refinement of semantic 3D building models by conflict classification	Olaf Wysocki, Eleonora Grilli, Ludwig Hoegner	2023	arxiv 2303.05998
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification	Jiawei Mao, Shujian Guo, Yuanqi Chang	2023	arxiv 2305.05871
Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks	Olaf Wysocki, Yan Xia, Magdalena Wysocki	2023	arxiv 2305.06314
Geometry meets semantics for semi-supervised monocular depth estimation	Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi	2018	arxiv 1810.04093
Gated CRF Loss for Weakly Supervised Semantic Image Segmentation	Anton Obukhov, Stamatios Georgoulis, Dengxin Dai	2019	arxiv 1906.04651
UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation	Junjiao Tian, Wesley Cheung, Nathan Glaser	2019	arxiv 1911.05611
AlphaNet: An Attention Guided Deep Network for Automatic Image Matting	Rishab Sharma, Rahul Deora, Anirudha Vishvakarma	2020	arxiv 2003.03613
Bidirectional Graph Reasoning Network for Panoptic Segmentation	Yangxin Wu, Gengwei Zhang, Yiming Gao	2020	arxiv 2004.06272
OpenEDS2020: Open Eyes Dataset	Cristina Palmero, Abhishek Sharma, Karsten Behrendt