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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: ,   and    
Open Access
|Feb 2021
Figures & tables

Figures & Tables

Figure 1.

T-SNE Plot for word Embedding

Figure 2.

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

graphic/j_ijanmc-2021-026_fig_003.jpg
graphic/j_ijanmc-2021-026_fig_004.jpg
graphic/j_ijanmc-2021-026_fig_005.jpg
Figure 3.

Visualization of Epoch vs Loss with different window size and dimension

Figure 4.

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.

Volume 6 (2021): Issue 3 (January 2021)
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