Effects of category composition and response label on attribute identification concept performance.

1973 ◽  
Vol 101 (2) ◽  
pp. 289-295
Author(s):  
Thomas C. Toppino ◽  
Peder J. Johnson
Keyword(s):  
Attribute Identification

scholarly journals TallyQA: Answering Complex Counting Questions

2019 ◽  
Vol 33 ◽  
pp. 8076-8084 ◽  
Author(s):  
Manoj Acharya ◽  
Kushal Kafle ◽  
Christopher Kanan
Keyword(s):  
High Resolution ◽  
Object Detection ◽  
Question Answering ◽  
Visual Question Answering ◽  
Attribute Identification ◽  
High Resolution Imagery

Most counting questions in visual question answering (VQA) datasets are simple and require no more than object detection. Here, we study algorithms for complex counting questions that involve relationships between objects, attribute identification, reasoning, and more. To do this, we created TallyQA, the world’s largest dataset for open-ended counting. We propose a new algorithm for counting that uses relation networks with region proposals. Our method lets relation networks be efficiently used with high-resolution imagery. It yields stateof-the-art results compared to baseline and recent systems on both TallyQA and the HowMany-QA benchmark.

Frequency analysis of attribute identification.

1976 ◽  
Vol 105 (3) ◽  
pp. 294-312 ◽  
Author(s):  
L. E. Bourne ◽  
B. R. Ekstrand ◽  
W. R. Lovallo ◽  
R. T. Kellogg ◽  
C. C. Hiew ◽  
...  
Keyword(s):  
Frequency Analysis ◽  
Attribute Identification

scholarly journals Dynamic Evaluation Method of the EW-AHP Attribute Identification Model for the Tunnel Gushing Water Disaster under Interval Conditions and Applications

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Bo Wu ◽  
Huihao Chen ◽  
Wei Huang ◽  
Guowang Meng
Keyword(s):  
Evaluation Method ◽  
Water Inrush ◽  
Risk Identification ◽  
Theory And Practice ◽  
Assessment System ◽  
Evaluation Index ◽  
Attribute Identification ◽  
Tunnel Section ◽  
Water Disaster ◽  
Identification Model

The gushing water disaster in tunnels is a kind of harmful and risky engineering disaster. It has become a key problem to evaluate the risk of tunnel gushing water accurately and objectively. A case study of a typical highway tunnel is performed for theory and practice analysis. For this reason, the risk identification is carried out on the assessed objects, and 10 evaluation indexes are determined. In turn, the risk evaluation index system and classification standard are established. Furthermore, the entropy weight method and the analytic hierarchy process are combined to assign the weight to each evaluation index. Therefore, a dynamic risk assessment system, including the pre-evaluation model and the postevaluation model, is constructed with the attribute identification model. As a result, the tunnel section with a high risk of water inrush is accurately assessed, which is consistent with the construction situation on site. Moreover, it is verified that the assessment results are reliable, which can provide a reference for the similar projects.

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