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Showing 1 - 20 results of 32 for search 'multiple spatial attention algorithm', query time: 0.24s Refine Results
  1. 1
    The spatial attention wo proposed (MHSA).

    The spatial attention wo proposed (MHSA). by Xicheng Sun (2104468)

    Published 2025
    “…Lastly, the efficiency of local attention is enhanced by adding a multi-dimensional fusion branch, which bolsters the interaction of information across multiple dimensions and facilitates comprehensive spatial information extraction from multimodal images. …”
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  2. 2
    Test data for Map 3.

    Test data for Map 3. by Qingling Zhang (758713)

    Published 2025
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  3. 3
    Test data for Map 1.

    Test data for Map 1. by Qingling Zhang (758713)

    Published 2025
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  4. 4
    Structure of GRU-CNN feature extraction network.

    Structure of GRU-CNN feature extraction network. by Qingling Zhang (758713)

    Published 2025
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  5. 5
    Test data for Map 2.

    Test data for Map 2. by Qingling Zhang (758713)

    Published 2025
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  6. 6
    Experimental parameter settings.

    Experimental parameter settings. by Qingling Zhang (758713)

    Published 2025
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  7. 7
    Agent observation range mapping.

    Agent observation range mapping. by Qingling Zhang (758713)

    Published 2025
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  8. 8
    Results of ablation experiments.

    Results of ablation experiments. by Qingling Zhang (758713)

    Published 2025
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  9. 9
    Performance of agents on maps of different sizes.

    Performance of agents on maps of different sizes. by Qingling Zhang (758713)

    Published 2025
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  10. 10
    Test data for Map 4.

    Test data for Map 4. by Qingling Zhang (758713)

    Published 2025
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  11. 11
    Diagram of SDPGAT-G communication model.

    Diagram of SDPGAT-G communication model. by Qingling Zhang (758713)

    Published 2025
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  12. 12
    The framework of our model.

    The framework of our model. by Qingling Zhang (758713)

    Published 2025
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  13. 13
    Information on each atlas.

    Information on each atlas. by Qingling Zhang (758713)

    Published 2025
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  14. 14
    Performance of agents on maps with different densities.

    Performance of agents on maps with different densities. by Qingling Zhang (758713)

    Published 2025
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  15. 15
    Test data for Map 5.

    Test data for Map 5. by Qingling Zhang (758713)

    Published 2025
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  16. 16
    The qualitative comparisons on TNO 02.png.

    The qualitative comparisons on TNO 02.png. by Xicheng Sun (2104468)

    Published 2025
    “…Lastly, the efficiency of local attention is enhanced by adding a multi-dimensional fusion branch, which bolsters the interaction of information across multiple dimensions and facilitates comprehensive spatial information extraction from multimodal images. …”
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  17. 17
    Dual-branch multilevel fusion module (DMFM).

    Dual-branch multilevel fusion module (DMFM). by Xicheng Sun (2104468)

    Published 2025
    “…Lastly, the efficiency of local attention is enhanced by adding a multi-dimensional fusion branch, which bolsters the interaction of information across multiple dimensions and facilitates comprehensive spatial information extraction from multimodal images. …”
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  18. 18
    The qualitative comparisons on TNO 01.png.

    The qualitative comparisons on TNO 01.png. by Xicheng Sun (2104468)

    Published 2025
    “…Lastly, the efficiency of local attention is enhanced by adding a multi-dimensional fusion branch, which bolsters the interaction of information across multiple dimensions and facilitates comprehensive spatial information extraction from multimodal images. …”
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  19. 19
    The framework of method we proposed (DMCM).

    The framework of method we proposed (DMCM). by Xicheng Sun (2104468)

    Published 2025
    “…Lastly, the efficiency of local attention is enhanced by adding a multi-dimensional fusion branch, which bolsters the interaction of information across multiple dimensions and facilitates comprehensive spatial information extraction from multimodal images. …”
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  20. 20
    Comparison of facial feature extraction effect.

    Comparison of facial feature extraction effect. by Yingying Mei (13817440)

    Published 2025
    “…The study introduces channel-domain and spatial-domain attention mechanism to enhance the extraction of face image features. …”
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