1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
DedustNet: A Frequency-dominated Swin Transformer-based Wavelet Network for Agricultural Dust Removal
Shengli Zhang, Zhiyong Tao, Sen Lin
While dust significantly affects the environmental perception of automated agricultural machines, the existing deep learning-based methods for dust removal require further research…
cs.CV2024
WaveletFormerNet: A Transformer-based Wavelet Network for Real-world Non-homogeneous and Dense Fog Removal
Shengli Zhang, Zhiyong Tao, Sen Lin
Although deep convolutional neural networks have achieved remarkable success in removing synthetic fog, it is essential to be able to process images taken in complex foggy conditio…