Feature Distillation Network for Multi-Band NIR Colorization-Reference-Cited by-同舟云学术

Feature Distillation Network for Multi-Band NIR Colorization

Published:2022-11-07 Issue: Volume: Page:
ISSN:
Container-title:2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
language:
Short-container-title:

Author:

Park Tae-Sung¹,Kim Tae-Hyeon¹,Kim Jong-Ok¹

Affiliation:

1. Korea University,School of Electrical Engineering,Seoul,Korea

Funder

National Research Foundation of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9979726/9979808/09979948.pdf?arnumber=9979948

Reference19 articles.

1. A Multi-Model Fusion Framework for NIR-to-RGB Translation

2. Color Recovery from Multi-Spectral NIR Images Using Gray Information

3. U-net: convo-lutional networks for biomedical image segmentation;ronneberger;International Conference on Medical image computing and computer-assisted inter-vention,2015

4. Squeeze-and-Excitation Networks

5. Distilling the know ledge in a neural network;hinton;ArXiv Preprint,2015

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FAColorGAN: a dual-branch generative adversarial network for near-infrared image colorization;Signal, Image and Video Processing;2024-05-31

2. Multi-Band NIR-Based Low-Light Image Enhancement via Dual-Teacher Cross Attention;IEEE Access;2024

3. Dual-Teacher Color and Structure Distillation for NIR Image Colorization;2023 IEEE International Conference on Visual Communications and Image Processing (VCIP);2023-12-04

4. Filling the Gap: Enhancing Ultra-Low Light Image Brightness Through Multi-Band NIR Estimation;2023 IEEE International Conference on Visual Communications and Image Processing (VCIP);2023-12-04

5. Low-Light Image Enhancement via Distillation of NIR-to-RGB Conversion Knowledge;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31