CCS: a continuous spatial-semantic concordance score for robust evaluation of object detection models
Standard object detection evaluation relies on hard-threshold metrics (mAP, F1) that collapse continuous localization into binary decisions, penalize near-misses as complete failures, and ignore semantic label hierarchies. We propose CCS, a Continuous Spatial–Semantic Concordance Score integrating two complementary ter...