Search alternatives:
significant attention » significant potential (Expand Search), significant reduction (Expand Search)
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search)
marked decrease » marked increase (Expand Search)
attention map » attention paid (Expand Search), attention task (Expand Search), attention gate (Expand Search)
significant attention » significant potential (Expand Search), significant reduction (Expand Search)
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search)
marked decrease » marked increase (Expand Search)
attention map » attention paid (Expand Search), attention task (Expand Search), attention gate (Expand Search)
-
1
-
2
-
3
The structure of deformable attention.
Published 2025“…Specifically, OS-DETR achieves a Precision of 95.0%, Recall of 94.2%, mAP@50 of 95.7%, and mAP@50:95 of 74.2%. The code implementation and experimental results are available at <a href="https://github.com/dkx2077/OS-DETR.git" target="_blank">https://github.com/dkx2077/OS-DETR.git</a>.…”
-
4
-
5
-
6
-
7
-
8
-
9
-
10
-
11
-
12
-
13
-
14
-
15
-
16
-
17
-
18
-
19
-
20
Attentional visualization of different vehicles.
Published 2025“…By reducing the size of the feature maps in the shrinkage subnetwork, DWAN achieves a wider sensory field coverage while maintaining a smaller computational cost, thus improving the performance and efficiency of visual tasks. …”