• No results found

A Visual Attention Grounding Neural Model for Multimodal Machine Translation

N/A
N/A
Protected

Academic year: 2020

Share "A Visual Attention Grounding Neural Model for Multimodal Machine Translation"

Copied!
11
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 1: An overview of the VAG-NMT structure
Table 1: Translation results on the Multi30K dataset
Figure 2: Top five images retrieved using the givencaption. The original corresponding image of thecaption is highlighted with a red bounding box.
Table 4: Human evaluation results
+4

References

Related documents

The aim was to conduct a systematic review specifically reporting on studies that evaluated the diagnostic accuracy of red flags for Spinal Infection in patients with low back

Influence of gap behind the moving contact on anode root on moving contact and cathode root on fixed contact as arc chamber venting opened, choked, closed condition, Ag/C step,

[r]

Elizabeth Smith, who left us her diaries, was born in Edinburgh in 1797.' She came to Ireland in 1830 after her husband, in her own words a poor sad Orangeman', inherited a

Settings and Design: This was an observational retrospective analysis on the clinicopathologic manifestations of the paedi- atric cases which were admitted with severe malaria due

Ram speed 120·ms prior to maximum gape versus average deceleration for 60·ms after maximum gape (A) and mean change in body angle along the z -axis for the final 80·ms of prey

middle of the second decade of life, and char- acteristic imaging features of a small hemi- sphere with a thin cortex, shallow sulci, hypo- plastic or dysplastic basal ganglia, and

PURPOSE: To describe the pattern and time course of embolization-related tissue lesions and repermeation of the intranidal cast after endovascular embolization of cerebral