Foggy Scene Segmentation
2 papers with code • 4 benchmarks • 2 datasets
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Most implemented papers
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation
Robust visual recognition under adverse weather conditions is of great importance in real-world applications.
Learning Generalized Segmentation for Foggy-scenes by Bi-directional Wavelet Guidance
We argue that an ideal segmentation model that can be well generalized to foggy-scenes need to simultaneously enhance the content, de-correlate the urban-scene style and de-correlate the fog style.