Search alternatives:
larger decrease » marked decrease (Expand Search)
task decrease » teer decrease (Expand Search), ash decreased (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
_ we » _ wet (Expand Search), _ web (Expand Search), _ e (Expand Search)
larger decrease » marked decrease (Expand Search)
task decrease » teer decrease (Expand Search), ash decreased (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
_ we » _ wet (Expand Search), _ web (Expand Search), _ e (Expand Search)
-
1
-
2
-
3
Evaluation of the effectiveness of double task.
Published 2025“…To tackle these challenges, we introduce the Multi-Task Attention Mechanism Network with Pruning (MTAMNP), consisting of a segmentation branch and a boundary regression branch. …”
-
4
The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness.
Published 2025“…<p>Using the invasion model, we investigate the effect of switching on and off (black vs grey) invasions with mutualisms halfway through the simulation (i.e. after 500 assembly events). …”
-
5
Overview of the WeARTolerance program.
Published 2024“…The quantitative results from Phase 1 demonstrated a decreasing trend in all primary outcomes. In phase 2, participants acknowledged the activities’ relevance, reported overall satisfaction with the program, and showed great enthusiasm and willingness to learn more. …”
-
6
-
7
-
8
-
9
-
10
-
11
-
12
-
13
Evaluation of the effectiveness of pruning.
Published 2025“…To tackle these challenges, we introduce the Multi-Task Attention Mechanism Network with Pruning (MTAMNP), consisting of a segmentation branch and a boundary regression branch. …”
-
14
The summary of ablation experiment.
Published 2025“…To tackle these challenges, we introduce the Multi-Task Attention Mechanism Network with Pruning (MTAMNP), consisting of a segmentation branch and a boundary regression branch. …”
-
15
Schematic of SADBIFB.
Published 2025“…To tackle these challenges, we introduce the Multi-Task Attention Mechanism Network with Pruning (MTAMNP), consisting of a segmentation branch and a boundary regression branch. …”
-
16
Schematic of the residual attention block.
Published 2025“…To tackle these challenges, we introduce the Multi-Task Attention Mechanism Network with Pruning (MTAMNP), consisting of a segmentation branch and a boundary regression branch. …”
-
17
-
18
-
19
-
20
PVGs of subject 1 at task start, near SPL apex and near the end of the task (from top to bottom).
Published 2025Subjects: