Adversarial Spatial Dropout for Occlusion

• Crops region pixels to generate hard positives for object detection by learning key image regions
• Within the proposed region only 1/3 pixels are dropped after sorting based on magnitudes
• Dropped values are non-contiguous here as compared to previously discussed methods