Description

While there has been a significant amount of work on object search and image retrieval, the focus has primarily been on establishing effective models for the whole images, scenes, and objects occupying a large portion of an image. In this paper, we propose to leverage object proposals to identify small and smoothstructured objects in a large image database. Unlike popular methods exploring a coarse image-level pairwise similarity, the search is designed to exploit the similarity measures at the proposal level.