Adding frequency-spatial attention (FSTB) and a training-time corruption branch (HDC) improves detection and segmentation of overlapping objects by 0.3-4.3 AP on four X-ray datasets.
Augmenting the national institutes of health chest radiograph dataset with expert annotations of possible pneumonia,
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FOAM: A General Frequency-Optimized Anti-Overlapping Framework for Overlapping Object Perception
Adding frequency-spatial attention (FSTB) and a training-time corruption branch (HDC) improves detection and segmentation of overlapping objects by 0.3-4.3 AP on four X-ray datasets.