Liping Kang

Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough

Optimising the approximation of Average Precision (AP) has been widely studied for image retrieval. Limited by the definition of AP, such methods consider both negative and positive instances ranking before each positive instance. However, we claim that only penalizing negative instances before posi…