Supplementary Material for “Learning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning”
نویسندگان
چکیده
We first provide our derivation of the coordinate-ascent method used in the alternating inference, which searches for the best scoring x and v. The overview of our method is given in Algorithm 1 in the main paper. We now show how to rewrite the scoring function S(x,v) as its quadratic form w.r.t. v. Note that γ(v(y)) = (1− δ)v(y) + δ. So we can write the first term (i.e., the global mask term) in Eqn. 5 as
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