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版本、环境信息：
1）PaddlePaddle版本：1.6
2）CPU：CPU
3）GPU：无
4）系统环境：Linux python2.7
metric learning中的reader.py源码如下：createreader中的keep_order
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def createreader(settings, mode):
def metric_reader():
…
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Hi @KaiyangZhou ,
I have custom datasets with 40 to 60 unique individuals. I am applying 2-step transfer learning and fine tuning pre-trained model OSNet AIN trained on MSMT.
I have following q…
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Hi,
is there any way to disable in-batch negatives during training in Sentence Transformers?
Thanks
@tomaarsen
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Hi~
It is a nice job. The proposed WRT loss seems to be the improved version of the original Triplet loss. Did you carry out any ablation studies on the proposed AGW baseline for cross-modality visib…
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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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**Q1:**
I find the elements in `nns` and `others` is useless in the `triplets` collection
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for i in xrange(wtvv.shape[0]):
for j in xrange(len(nns[i])):
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Hi, I didn't figure out how to add another half of the loss.
Do I have to use getBatchHLoss() in the resnet file as I wrote in the following lines?
286 feature_loss_mat = triplet_loss(pa…
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I saw you have use "K.sum(user_latent * positive_item_latent, axis=-1, keepdims=True)",but in my keras with tensorflow backend,this "*" means point-wise multiplication.
I think we should compute the …
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Hi ,kaiyang:
i want to reproduce the AGW method and i found Weighted Regularization Triplet return loss and correct ,so should i rewrite a new image engine follow the torchreid [guide?](https://kaiya…
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should
`loss = (- targets * log_probs).mean(0).sum()` in [https://github.com/michuanhaohao/reid-strong-baseline/blob/master/layers/triplet_loss.py#L146](url)
be supposed to `loss = (- targets *…