Results 21 to 30 of about 193,972 (282)
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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Large-Scale Unsupervised Semantic Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 Benchmark and Source Code: https://github.com ...
Shanghua Gao +5 more
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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 +5 more
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Progressive Semantic Segmentation [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Accepted to CVPR ...
Huynh, Chuong +3 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 +6 more
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Latent space unsupervised semantic segmentation
Frontiers in Physiology, 2023 The development of compact and energy-efficient wearable sensors has led to an increase in the availability of biosignals. To effectively and efficiently analyze continuously recorded and multidimensional time series at scale, the ability to perform meaningful unsupervised data segmentation is an auspicious target.
Knut J. Strommen +4 more
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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 +8 more
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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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Enhancing Semantically Masked Transformer With Local Attention for Semantic Segmentation
IEEE Access, 2023 Transformer-based semantic segmentation has been applied to various visual recognition applications and achieved outstanding performance in recent years. Since most of these approaches adopt a pretrained backbone and finetune it for semantic segmentation,
Zhengyu Xia, Joohee Kim
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Joint Multiclass Object Detection and Semantic Segmentation for Autonomous Driving
IEEE Access, 2023 Object detection and semantic segmentation are two fundamental problems in autonomous driving systems. As recent studies have illustrated the strong correlation between the two tasks, the joint development of object detection and semantic segmentation ...
Shakhboz Abdigapporov +3 more
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