Search alternatives:
significant attention » significant potential (Expand Search), significant reduction (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
Showing 1 - 20 results of 6,462 for search '(( significant attention module ) OR ( significantly ((teer decrease) OR (linear decrease)) ))', query time: 1.25s Refine Results
  1. 1
    Channel attention module.

    Channel attention module. by Yuanhong Dan (20570631)

    Published 2025
    “…Deep learning UAV target tracking methods based on the Siamese family have achieved significant results but still face challenges regarding accuracy and speed compatibility. …”
    Save to List
    Saved in:
  2. 2
    Spatial attention module.

    Spatial attention module. by Yuanhong Dan (20570631)

    Published 2025
    “…Deep learning UAV target tracking methods based on the Siamese family have achieved significant results but still face challenges regarding accuracy and speed compatibility. …”
    Save to List
    Saved in:
  3. 3
    Self-attention module.

    Self-attention module. by Huiqing Wang (1370457)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  4. 4
    Self-attention module.

    Self-attention module. by Xiaozhong Geng (20840345)

    Published 2025
    Save to List
    Saved in:
  5. 5
    Channel attention module.

    Channel attention module. by Diansheng Zhang (22640973)

    Published 2025
    Save to List
    Saved in:
  6. 6
    Spatial attention module.

    Spatial attention module. by Diansheng Zhang (22640973)

    Published 2025
    Save to List
    Saved in:
  7. 7
    Hannel attention module.

    Hannel attention module. by Qingfeng Li (1524259)

    Published 2025
    Save to List
    Saved in:
  8. 8
    Spatial attention module.

    Spatial attention module. by Qingfeng Li (1524259)

    Published 2025
    Save to List
    Saved in:
  9. 9
    Attention module network.

    Attention module network. by Shuangyan Li (502833)

    Published 2024
    Save to List
    Saved in:
  10. 10
    Convolutional block attention module.

    Convolutional block attention module. by Xiaoke Liu (11388323)

    Published 2025
    Save to List
    Saved in:
  11. 11
    Multi-path channel attention and pixel attention modules.

    Multi-path channel attention and pixel attention modules. by Changjun Zou (1761103)

    Published 2023
    Save to List
    Saved in:
  12. 12
    The attention module of our network.

    The attention module of our network. by Jianyi Zhang (104103)

    Published 2024
    Save to List
    Saved in:
  13. 13
    Normalization channel attention module.

    Normalization channel attention module. by Yuping Yin (3617510)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  14. 14
    The structure of the proposed concatenated attention module.

    The structure of the proposed concatenated attention module. by Tao Hu (422014)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  15. 15
    The structure of the proposed integrated attention module.

    The structure of the proposed integrated attention module. by Tao Hu (422014)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  16. 16
    Efficient Channel Attention (ECA) module.

    Efficient Channel Attention (ECA) module. by Changyu Jin (5746523)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  17. 17
    Efficient channel attention network module.

    Efficient channel attention network module. by Xiao Wang (19312)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  18. 18
    Cross-attention module network structure.

    Cross-attention module network structure. by Chong Zhang (418677)

    Published 2025
    Save to List
    Saved in:
  19. 19
    Feature attention module.

    Feature attention module. by Ning Zhang (23771)

    Published 2025
    “…The fused features, combined with those processed by the convolutional module, are fed into an attention layer. This attention layer assigns weights to the features, facilitating accurate final classification. …”
    Save to List
    Saved in:
  20. 20
    Feature attention module.

    Feature attention module. by Ning Zhang (23771)

    Published 2025
    “…The fused features, combined with those processed by the convolutional module, are fed into an attention layer. This attention layer assigns weights to the features, facilitating accurate final classification. …”
    Save to List
    Saved in:

Search Tools: