text encoder for birds and flowers datasets

[seragENTp]

in main_cls_int.lua , the text encoder is as follow :
netR = nn.Sequential()
if opt.replicate == 1 then
netR:add(nn.Reshape(opt.batchSize / opt.numCaption, opt.numCaption, opt.txtSize))
netR:add(nn.Transpose({1,2}))
netR:add(nn.Mean(1))
netR:add(nn.Replicate(opt.numCaption))
netR:add(nn.Transpose({1,2}))
netR:add(nn.Reshape(opt.batchSize, opt.txtSize))
else
netR:add(nn.Reshape(opt.batchSize, opt.numCaption, opt.txtSize))
netR:add(nn.Transpose({1,2}))
netR:add(nn.Mean(1))
end

however, in the paper you used hyprid CNN-RNN network , is it ok to use this network instead of the one mentioned in the paper ?

[youngjung-obsolete]

@seragENTp To my knowledge, netR just replacates the input text vector and the text vector is already encoded by cvpr2016 code.