Positive Branch1:CNN+SPP-Net F(P) Anchor Negative Share Weights Branch2: CNN+SPP-Net F(A) Share Weights Branch3: CNN+SPP-Net F(N) Improved Triplet Loss FiguFriegu8r.eT8h.eThcoencostnrsutrcuticotinonofofththeeTTrripiplleett SSppaattiiaallPPyyrraammididPoPooloinlginNgeNtweotwrko(rTkSP...
During the process of constructing a tree in each branch, from between all M independent variables, m variables were randomly chose√n for partition. For regression, the ratio m/M is one-third, and is proposed for classification as m = M [61]. After introducing the whole tree construction...
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