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Dibels Benchmark

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8 documents available in our comprehensive collection of Dibels Benchmark resources. Find practical guides, tutorials, and documentation to enhance your knowledge.

Preview of Property Alignment on the Semantic Web
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Property Alignment on the Semantic Web (properties-property-alignment.pdf)

337 KBEN 14 pages
investigate poor property alignment performance, proposing a new benchmark and a baseline approach
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Preview of <Paper>
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(Song_Box-Driven_Class-Wise_Region_Masking_and_Filling_Rate_Guided_Loss_for_CVPR_2019_paper.pdf)

1.36 MBChunfeng Song, Yan Huang, Wanli Ouyang, Liang WangEN 10 pages
Semantic segmentation has made significant progress with deep Fully Convolutional Networks (FCN), but its performance relies heavily on expensive and...
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Paper (1903.01568.pdf)

3.1 MBEN 6 pages
The Honda Research Institute 3D Dataset (H3D) is a large-scale full-surround 3D multi-object detection and tracking dataset collected using a 3D LiDAR scanner,...
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Paper PDF (Lv_Unbiased_Multiple_Instance_Learning_for_Weakly_Supervised_Video_Anomaly_Detection_CVPR_2023_paper.pdf)

2.15 MBHui Lv; Zhongqi Yue; Qianru Sun; Bin Luo; Zhen Cui; Hanwang ZhangEN 10 pages
Unbiased Multiple Instance Learning (UMIL) is proposed for Weakly Supervised Video Anomaly Detection (WSVAD), where video-level binary labels are available.
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Preview of Navigation Aid
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Navigation Aid (weiss20a.pdf)

4.09 MBAnonymous SubmissionEN 14 pages
Millions of blind and visually-impaired people struggle to navigate urban environments, relying on smartphones for path-planning and white canes or guide dogs...
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paper (Sultani_Real-World_Anomaly_Detection_CVPR_2018_paper.pdf)

3.23 MBWaqas Sultani, Chen Chen, Mubarak ShahEN 10 pages
Real-world anomaly detection in surveillance videos is a pressing need due to the increasing number of cameras and the lack of human monitors.
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Preview of I2CDDE Algorithm
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I2CDDE Algorithm (Accepted_manuscript.pdf)

819 KBConstance Roberts-Croot (RIN - Staff)EN 13 pages
A novel fully supervised local descriptor learning algorithm, called Image-to-Class Distances based Discriminative Embedding (I2CDDE), is proposed to learn...
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Preview of Setting Up the Fast Downward Planning System with Vagrant and VirtualBox
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Setting Up the Fast Downward Planning System with Vagrant and VirtualBox (sheet01.pdf)

201 KBEN 4 pages
This exercise sheet from the University of Basel's Planning and Optimization course (Fall 2022) focuses on setting up the Fast Downward planning system, providing two methods using Vagrant/VirtualBox for accessibility across different computer architectures. Students must follow...
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