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parameter& Dataset :
* Dataset : Sejong University building( in Seoul ) Image Dataset
* input image size : ( 128,128,3 )
* base model : VGG16( pretrained weights : 'imagenet')
* netVLAD clusterin…
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I encountered issue when using triplet loss to train the images with ResNet and InceptionV3. I believe I'm not the only one, according to [this](https://github.com/keras-team/keras/issues/11927) keras…
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I'm trying to use triplet loss train resnet on arbitrary datasets but I can't. When I train mnist using your repo, I see fraction_positive decreasing over time but then, for resnet it goes up instead.…
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Hi, thanks for your amazing work!but I encountered some problems while reproducing the work .The training loss became nan during training process. If there are possible solutions to my problem? Thanks…
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First of all, the work is very instructive, thank you! As a novice to scene graph generation, my current research requires methods to extract information from images using scene graph generation. So I…
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I have a dataset image here, how could I fine-tune model with my dataset using triplet loss?
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Hi,
I want to know your reference(paper) about triplet loss.
Can you give me the paper you refer to? facenet??
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When computing the triplet_loss your function outputs 350 while it should output 528
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I've been doing some experiments with your batch hard triplet loss function and different architectures/datasets. On MARS I manage to reproduce the results from your paper (network seems to converge),…
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when I use --train-sampler RandomIdentitySampler to perform hardming in the triplets_loss, the model can not reach the convergence (the entropy loss keep constant). Have you met this problem? Should I…