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Recently, SiamFC network has been investigated into object tracking community. This network utilizes two branches sharing same parameters as feature extractor and cross-correlation as similarity metric. However, most of SiamFC trackers discard low level conv-feature and only take the conv-feature from last layer into account. In this paper, we propose a hierarchical estimation framework for SiamFC network to take full advantage of both low level and high level conv-features. We firstlydblp:journals/ajiips/GuQXYXWL19 fatcat:q5c4rfefizbhfpipyazb22vbqe