scholarly journals Distributed Attention for Grounded Image Captioning

2021 ◽  
Author(s):  
Nenglun Chen ◽  
Xingjia Pan ◽  
Runnan Chen ◽  
Lei Yang ◽  
Zhiwen Lin ◽  
...  
Keyword(s):  
Image Captioning ◽  
Distributed Attention

Feedback Attention Model for Image Captioning

2019 ◽  
Vol 31 (7) ◽  
pp. 1122
Author(s):  
Fan Lyu ◽  
Fuyuan Hu ◽  
Yanning Zhang ◽  
Zhenping Xia ◽  
S Sheng Victor
Keyword(s):  
Image Captioning ◽  
Attention Model

scholarly journals An Image Captioning Model Based on Bidirectional Depth Residuals and its Application

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 25360-25370
Author(s):  
Ziwei Zhou ◽  
Liang Xu ◽  
Chaoyang Wang ◽  
Wei Xie ◽  
Shuo Wang ◽  
...  
Keyword(s):  
Image Captioning ◽  
Model Based

scholarly journals Readiness Assessment of Green Building Certification Systems for Residential Buildings during Pandemics

2021 ◽  
Vol 13 (2) ◽  
pp. 460
Author(s):  
Aidana Tleuken ◽  
Galym Tokazhanov ◽  
Mert Guney ◽  
Ali Turkyilmaz ◽  
Ferhat Karaca
Keyword(s):  
Residential Buildings ◽  
Health And Safety ◽  
Green Building ◽  
Round Table ◽  
Global Changes ◽  
Wastewater Management ◽  
Residential Housing ◽  
Readiness Assessment ◽  
Daily Lives ◽  
Distributed Attention

One of the consequences of COVID-19 pandemic is the momentum it has created for global changes affecting various aspects of daily lives. Among these, green building certification systems (GBCSs) should not be left behind as significant potential modifications may be required to ensure their versatility for residential buildings due to the new pandemic reality. The present study aims to evaluate the readiness of chosen GBCSs for a proper assessment of existing residential housing sustainability in a post-pandemic world. Based on a literature review of the state-of-the-art data sources and round table discussions, the present study proposes a particular set of sustainability indicators covering special sustainability requirements under pandemic conditions. Then, those indicators are used to evaluate the readiness of selected GBCSs (BREEAM, LEED, WELL, CASBEE) to meet new pandemic-resilient requirements based on their responses to the indicators. The assessment shows that none of the reviewed GBCSs are fully ready to cover all the proposed indicators. GBCSs have differing focuses on particular sustainability pillars, which also affected their responses to pandemic-resilient categories. For instance, WELL rating system successfully responded to the health and safety category, whereas LEED showed better preparedness in terms of environmental efficiency. BREEAM and CASBEE systems have a more evenly distributed attention to all three pandemic-resilient categories (Health & Safety, Environmental Resources Consumption, and Comfort) with an accent on the Comfort category. On a specific note, all GBCSs are insufficiently prepared for waste and wastewater management. In the future, GBCSs should be modified to better adapt to pandemic conditions, for which the current work may provide a basis. As an alternative, brand new standards can be created to face newly arising and evolving post-pandemic requirements.

scholarly journals Image Captioning Using Deep Convolutional Neural Networks (CNNs)

2020 ◽  
Vol 1712 ◽  
pp. 012015
Author(s):  
G. Geetha ◽  
T. Kirthigadevi ◽  
G.Godwin Ponsam ◽  
T. Karthik ◽  
M. Safa
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Image Captioning ◽  
Deep Convolutional Neural Networks
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