Revisiting Dropout Regularization for Cross-Modality Person Re-Identification
This paper investigated targeted dropout regularization for improving convolutional neural network classifier performance on cross-modality person re-identification problems.The dropout regularization is carefully applied on specific layers (targeted dropout regularization) or regions of the features map (spatially targeted dropout regularization).