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Using Text and Visual Cues for Fine-Grained Classification Cover

Using Text and Visual Cues for Fine-Grained Classification

International Journal of Advanced Network, Monitoring and Controls
Volume 6 (2021): Issue 3 (January 2021)
By: Zaryab Shaker,  Xiao Feng and  Muhammad Adeel Ahmed Tahir  
Open Access
|Feb 2021

Figures & Tables

Figure 1.

T-SNE Plot for word Embedding
T-SNE Plot for word Embedding

Figure 2.

Proposed Model Pipeline_ Text and Visual features are attended and Combined for Fine Grained Classification.
Proposed Model Pipeline_ Text and Visual features are attended and Combined for Fine Grained Classification.

Figure 3.

Visualization of Epoch vs Loss with different window size and dimension
Visualization of Epoch vs Loss with different window size and dimension

Figure 4.

Parameters visualization with different window size and dimension
Parameters visualization with different window size and dimension
DOI: https://doi.org/10.21307/ijanmc-2021-026 | Journal eISSN: 2470-8038
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Language: English
Page range: 42 - 49
Published on: Feb 22, 2021
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Scene Text,
Product Text,
Fine-Grained Classification,
Convolution Neural Network,
Attention,
Product Search
Related subjects:
Computer sciences,
Computer sciences, other

© 2021 Zaryab Shaker, Xiao Feng, Muhammad Adeel Ahmed Tahir, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution 4.0 License.

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