PLoPS: Localization-aware person search with prototypical normalization

Sanghoon Lee, Youngmin Oh, Donghyeon Baek, Junghyup Lee, Bumsub Ham

Abstract: Highlights•A novel normalization layer, ProtoNorm, considering the class imbalance problem across person IDs.•A localization-aware objective function for learning discriminative features for person search.•A LUT calibration technique that adjusts person features in the LUT during training.•We set a new state of the art on standard benchmarks for person search.