Glocal Retriever: Glocal Image Retrieval Using the Combination of Global and Local Descriptors
Development of deep learning has led to progress in computer vision, including metric learning tasks such as image retrieval, through convolutional neural networks. In image retrieval, the metric distance (i.e., the similarity) between the images needs to be computed and then compared to return simi...
Main Authors: | Zeu Kim, Youngin Kim, Young-Joo Suh |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/12/2/442 |
Similar Items
-
OSAP‐Loss: Efficient optimization of average precision via involving samples after positive ones towards remote sensing image retrieval
by: Xin Yuan, et al.
Published: (2023-12-01) -
Deep Hash Remote-Sensing Image Retrieval Assisted by Semantic Cues
by: Pingping Liu, et al.
Published: (2022-12-01) -
Deep Hashing Using Proxy Loss on Remote Sensing Image Retrieval
by: Xue Shan, et al.
Published: (2021-07-01) -
Relative Distribution Entropy Loss Function in CNN Image Retrieval
by: Liu Pingping, et al.
Published: (2020-03-01) -
Global Optimal Structured Embedding Learning for Remote Sensing Image Retrieval
by: Pingping Liu, et al.
Published: (2020-01-01)