Instance search via instance level segmentation and feature representation

Instance search is an interesting task as well a challenging issue due to the lack of effective feature representation. In this paper, instance level representation built upon fully convolutional instance-aware segmentation proposed. The ROI-pooled from segmented region. So that instances in various sizes and layouts are represented by deep features uniform length. This further enhanced use deformable ResNeXt blocks. Superior performance observed terms its distinctiveness scalability on evaluation dataset ourselves. addition, proposed enhancement network structure also shows superior task.