Joint dual-teacher distillation and unsupervised fusion for unpaired real-world image dehazing
Abstract Existing learning-based dehazing algorithms struggle to deal with real world hazy images for lack of paired clean data. Moreover, most dehazing methods require significant computation and memory. To address the above problems, we propose a joint dual-teacher knowledge distillation and unsup...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2024-05-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-024-01468-2 |