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DWRSeg: Rethinking Efficient Acquisition of Multi-scale Contextual Information for Real-time Semantic Segmentation

• Authors : Wei, Haoran; Liu, Xu; Xu, Shouchun

Subjects: Computer Science - Computer Vision and Pattern Recognition; Computer Science - Artificial Intelligence

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MC-Net: multi-scale contextual information aggregation network for image captioning on remote sensing images

• Authors : Haiyan Huang; Zhenfeng Shao; Qimin Cheng

Subjects: semantic understanding; 0211 other engineering and technologies; deep learning

• Source: International Journal of Digital Earth, Vol 16, Iss 2, Pp 4848-4866 (2023)

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Efficient 6D object pose estimation based on attentive multi‐scale contextual information

• Authors : Fang Gao; Qingyi Sun; Shaodong Li

Subjects: Computer applications to medicine. Medical informatics; R858-859.7; Computer software

• Source: IET Computer Vision, Vol 16, Iss 7, Pp 596-606 (2022)

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A Multi-Scale Contextual Information Enhancement Network for Crack Segmentation

• Authors : Lili Zhang; Yang Liao; Gaoxu Wang

Subjects: convolutional neural network; crack segmentation; skip connections

• Source: Applied Sciences, Vol 12, Iss 21, p 11135 (2022)

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Coupled multi-task fully convolutional networks using multi-scale contextual information and hierarchical hyper-features for semantic image segmentation

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Pyramid Scene Parsing Network in 3D: improving semantic segmentation of point clouds with multi-scale contextual information

• Authors : Fang, Hao; Lafarge, Florent;

Subjects: Point Cloud; Semantic Segmentation; Deep Learning

• Source: ISSN: 0924-2716 ; ISPRS Journal of Photogrammetry and Remote Sensing ; https://hal.inria.fr/hal-02159279 ; ISPRS Journal of Photogrammetry and Remote Sensing, In press.

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COUPLED MULTI-TASK FULLY CONVOLUTIONAL NETWORKS USING MULTI-SCALE CONTEXTUAL INFORMATION AND HIERARCHICAL HYPER-FEATURES FOR SEMANTIC IMAGE SEGMENTATION

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An improved algorithm for small object detection based on YOLO v4 and multi-scale contextual information

• Authors : Ji, Shu-Jun; Ling, Qing-Hua; Han, Fei ...

• Source: Computers and Electrical Engineering ; volume 105, page 108490 ; ISSN 0045-7906

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Coupled multi-task fully convolutional networks using multi-scale contextual information and hierarchical hyper-features for semantic image segmentation

تفاصيل العنوان

COUPLED MULTI-TASK FULLY CONVOLUTIONAL NETWORKS USING MULTI-SCALE CONTEXTUAL INFORMATION AND HIERARCHICAL HYPER-FEATURES FOR SEMANTIC IMAGE SEGMENTATION

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