Depth and DOF Cues Make A Better Defocus Blur Detector
Author:
Affiliation:
1. Wuhan University,School of Computer Science,Wuhan,China
2. Wuhan University,State Key Laboratory LIESMARS,Wuhan,China
Funder
Nature
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10219544/10219545/10219798.pdf?arnumber=10219798
Reference25 articles.
1. Maganet: A multi-attention generative adversarial network for defocus blur detection;jiang;TIP,2022
2. Layer-Output Guided Complementary Attention Learning for Image Defocus Blur Detection
3. Knowledge Distillation: A Survey
4. Depth of field;andrew adams,0
5. Defusionnet: Defocus blur detection via recurrently fusing and refining discriminative multi-scale deep features;tang;TPAMI,2020
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