1. Detection 모델의 종류 One-stage detection faster & simpler, but lower accuracy Two-stage detection: slower, but higher accuracy First stage: generates a sparse set of candidate object detection Two-stage cascade to remove easy negatives Second stage: classifies each candidate location as one of the foreground classes or as background using CNN Sampling heuristics: foreground-background ratio (1:3)..