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https://arxiv.org/abs/1503.03832
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I use the same triplet loss (with BatchHard, Euclidean distance and Soft-margin) on the fine-grained categorization dataset [CUB-200-2011.](http://www.vision.caltech.edu/visipedia/CUB-200-2011.html) …
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the acc is 0, triplet loss and CE loss can obtain 0.5 acc, is hyper-parameters(s and m)?
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As described in the title, it seems that np.inf is assigned to the intra-class distances in triplet_center_loss in triplet.py, which is more like some kind of placeholder.
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Hello,
I was using triplet loss function from `tensorflow_addons.losses.TripletSemiHardLoss(margin=1.0)` to train my model using following line:
`tsn.compile(optimizer=tf.keras.optimizers.Adam(0…
mfide updated
6 months ago
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你好，非常感谢分享这个实现了triplet loss的代码。
我的问题是测试集的batch大小是否也要设置得跟训练集的batch大小一样？或者说，在测试的时候，测试集是否也需要实现triplet loss？
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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,everyone.I'm having a problem with the replication of "Training Data" part 4 "Fine-turn the above Softmax model with Triplet loss".
CUDA_VISIBLE_DEVICES='0,1,2,3' python -u train.py --network m1 …
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我觉得这个方法中的weight类似于特征，类似于说今天维护了一个特征的队列，然后加上了triplet loss去做，也就是没有weight。我认为本质上是用triplet loss来训练人脸识别，然后加上momentum。
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It throws the following error,
`PlaceRecognition/hard_triplet_loss.py", line 139, in _get_triplet_mask
valid_labels = i_equal_j * (i_equal_k ^ 1)
RuntimeError: result type Long can't be cast …