TransER: Hybrid Model and Ensemble-based Sequential Learning for Non-homogenous Dehazing-Reference-Cited by-同舟云学术

TransER: Hybrid Model and Ensemble-based Sequential Learning for Non-homogenous Dehazing

Published:2023-06 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Hoang Trung¹,Zhang Haichuan¹,Yazdani Amirsaeed¹,Monga Vishal¹

Affiliation:

1. Pennsylvania State University,School of Electrical Engineering and Computer Science,Unversity Park,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10208270/10208119/10208799.pdf?arnumber=10208799

Reference57 articles.

1. Image dehazing transformer with transmission-aware 3d position embedding;anwar;Proc of IEEE Conference on Computer Vision and Patter Recognition,2022

2. A fast single image haze removal algorithm using color attenuation prior;zhu;IEEE Transactions on Image Processing,2015

3. DehazeNet: An End-to-End System for Single Image Haze Removal

4. Loss Functions for Image Restoration With Neural Networks

5. Multi-Scale Boosted Dehazing Network With Dense Feature Fusion

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