Panoramic training images cut from 360-degree synthetic scenes, especially 180-degree FoV views, improve semantic segmentation accuracy and distortion robustness compared with conventional training data.
Can we pass beyond the field of view? panoramic annular semantic segmentation for real-world surrounding perception,
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Semantic Segmentation of Panoramic Images Using a Synthetic Dataset
Panoramic training images cut from 360-degree synthetic scenes, especially 180-degree FoV views, improve semantic segmentation accuracy and distortion robustness compared with conventional training data.