image processing - Training a Siamese Network with Caffe -


i training simple siamese network compares pair of images. followed example given caffe(siamese) , made own model.

my issue constrastive loss function. detail of function implementation caffe defined here. in implementation used margin = 1, defined follows

layer {   name: "loss"   type: "contrastiveloss"   bottom: "data"   bottom: "data_p"   bottom: "label"   top: "loss"   contrastive_loss_param {     margin: 1   } }

my data labeled 0 if dissimliar , 1 if similar. confused margin of contrastive loss function. how margin parameter selected?

page 3 of initial paper hadsell et.al states margin > 0 there upper bound?


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