Revisiting Low-Resolution Images Retrieval with Attention Mechanism and Contrastive Learning
Recent empirical works reveal that visual representation learned by deep neural networks can be successfully used as descriptors for image retrieval. A common technique is to leverage pre-trained models to learn visual descriptors by ranking losses and fine-tuning with labeled data. However, retriev...
| الحاوية / القاعدة: | Applied Sciences |
|---|---|
| المؤلفون الرئيسيون: | , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
MDPI AG
2021-07-01
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.mdpi.com/2076-3417/11/15/6783 |