legolas123

I have implemented the xnornet ++ paper with resnet-18. You can disable alpha, beta, gamma(scale factors for activation) in model file(BinConv2d). Then you can have the xnornet for resnet-18. Btw...

Great algorithm to bypass time consuming selective search. I implemented faster-rcnn using caffe, but in the top 300 regions generated through caffenet or zeiler, I hardly get an exact patch...

There you go. name: "CaffeNet" layer { name: "conv1" type: "Convolution" bottom: "data" top: "conv1" param { lr_mult: 0 decay_mult: 0 } param { lr_mult: 0 decay_mult: 0 } convolution_param...