Selective Aggregation of Deep Convolutional Features for Archeological Artifact Retreival-Reference-Cited by-同舟云学术

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Selective Aggregation of Deep Convolutional Features for Archeological Artifact Retreival

Published:2024-03-06 Issue: Volume:463 Page:1-6
ISSN:
Container-title:2024 12th International Electrical Engineering Congress (iEECON)
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Author:

Pipanmaekaporn Luepol¹,Kamonsantiroj Suwatchai¹,Srisomboon Kanabadee²

Affiliation:

1. King Mongkut's University of Technology North Bangkok,Department of Computer and Information Science,Bangkok,Thailand,10800

2. King Mongkut's University of Technology,Department of Electrical and Computer Engineering,North Bangkok,Bangkok,Thailand,10800

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10537606/10537804/10537944.pdf?arnumber=10537944

Reference25 articles.

1. Recent developments of content-based image retrieval (CBIR)

2. Learning visual similarity for product design with convolutional neural networks

3. Satellite image retrieval of random forest (rf-PNN) based probablistic neural network

4. Spatial Pyramid Attention Enhanced Visual Descriptors for Landmark Retrieval

5. Deep learning in computer vision: A critical review of emerging techniques and application scenarios

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