A scalable attention network for lightweight image super-resolution
Modeling long-range dependencies among features has become a consensus to improve the results of single image super-resolution (SISR), which stimulates interest in enlarging the kernel sizes in convolutional neural networks (CNNs). Although larger kernels definitely improve the network performance,...
में बचाया:
| मुख्य लेखकों: | , , , |
|---|---|
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
Springer
2024-10-01
|
| श्रृंखला: | Journal of King Saud University: Computer and Information Sciences |
| विषय: | |
| ऑनलाइन पहुंच: | http://www.sciencedirect.com/science/article/pii/S131915782400274X |
| टैग: |
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
|
