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YUTO SEMANTIC: A LARGE SCALE AERIAL LIDAR DATASET FOR SEMANTIC SEGMENTATION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Creating virtual duplicates of the real world has garnered significant attention due to its applications in areas such as autonomous driving, urban planning, and urban mapping.
S. Yoo, C. Ko, G. Sohn, H. Lee
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Introspective semantic segmentation [PDF]

IEEE Winter Conference on Applications of Computer Vision, 2014
Traditional approaches for semantic segmentation work in a supervised setting assuming a fixed number of semantic categories and require sufficiently large training sets. The performance of various approaches is often reported in terms of average per pixel class accuracy and global accuracy of the final labeling. When applying the learned models in the
Gautam Singh, Jana Kosecka
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Generative Semantic Segmentation

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
To appear at CVPR2023, code at http://github.com/fudan-zvg ...
Jiaqi Chen, Jiachen Lu, Xiatian Zhu, Li Zhang 0040   +3 more
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A TWO-STAGE APPROACH FOR RARE CLASS SEGMENTATION IN LARGE-SCALE URBAN POINT CLOUDS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Although deep learning has greatly improved the semantic segmentation accuracy of point clouds, the segmentation of rare classes in large-scale urban scenes has not been targeted in available methods.
X. Zhang, R. Xue, R. Xue, U. Soergel
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A Novel Semantic Segmentation Algorithm for RGB-D Images Based on Non-Symmetry and Anti-Packing Pattern Representation Model

IEEE Access, 2023
With the rapid development of deep learning technology, the accuracy of image semantic segmentation tasks has been greatly improved. However, indoor RGB-D semantic segmentation remains a challenging problem because of the complexity of indoor ...
Yunping Zheng, Yuan Xu, Shengjie Qiu, Wenqiang Li, Guichuang Zhong, Mudar Sarem   +5 more
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Detail Guided Multilateral Segmentation Network for Real-Time Semantic Segmentation

Applied Sciences, 2022
With the development of unmanned vehicles and other technologies, the technical demand for scene semantic segmentation is more and more intense.
Qunyan Jiang, Juying Dai, Ting Rui, Faming Shao, Ruizhe Hu, Yinan Du, Heng Zhang   +6 more
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Deep semantic segmentation of unmanned aerial vehicle remote sensing images based on fully convolutional neural network

Frontiers in Earth Science, 2023
In the era of artificial intelligence and big data, semantic segmentation of images plays a vital role in various fields, such as people’s livelihoods and the military.
Guoxun Zheng, Guoxun Zheng, Guoxun Zheng, Zhengang Jiang, Hua Zhang, Hua Zhang, Hua Zhang, Xuekun Yao, Xuekun Yao   +8 more
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Semantic Diffusion Network for Semantic Segmentation

Advances in Neural Information Processing Systems 35, 2022
Precise and accurate predictions over boundary areas are essential for semantic segmentation. However, the commonly-used convolutional operators tend to smooth and blur local detail cues, making it difficult for deep models to generate accurate boundary predictions.
Haoru Tan, Sitong Wu, Jimin Pi
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Boosting Semantic Segmentation with Semantic Boundaries

CoRR, 2023
28 pages, Code available at https://github.com/haruishi43 ...
Haruya Ishikawa, Yoshimitsu Aoki
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A Performance Improvement Strategy for Concrete Damage Detection Using Stacking Ensemble Learning of Multiple Semantic Segmentation Networks

Sensors, 2022
Semantic segmentation network-based methods can detect concrete damage at the pixel level. However, the performance of a single semantic segmentation network is often limited.
Shengyuan Li, Xuefeng Zhao
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