Computationally Efficient Neural Architecture Search for Image Denoising
In image denoising, deep neural networks require suitable architectural selection and noise-representative datasets for learning, often leading to significant computational demand. In this paper, this challenge is addressed in two ways. First, deep reinforcement learning is leveraged with weight-sha...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10948435/ |
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