CRACT: Cascaded Regression-Align-Classification for Robust Tracking
Heng Fan,Haibin Ling,Heng Fan,Haibin Ling
High quality object proposals are crucial in visual tracking algorithms that utilize region proposal network (RPN). Refinement of these proposals, typically by box regression and classification in parallel, has been popularly adopted to boost tracking performance. However, it still meets problems when dealing with complex and dynamic background. Thus motivated, in this paper we introduce an improv...
