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Hi,
I read through the official paper of FaceNet and there it is stated, that a batch size of 1800 is used for online triplet mining. This number seems to be quite high. I have acces to an IBM Powe…
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If I wish to do online hard negative mining (for triplet based algorithms), then I wish to send the recent state dict of my network to the data loader to evaluate the criterion and select the negative…
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Dear ReID experts:
If possible, I sincerely recommend you trying our example weighting methods.
The reasons:
(1) ReID datasets may have noisy observations or labels, and sample imbalance. I find…
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https://arxiv.org/abs/1709.08761
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I was trying to train FaceNet on kaggle using TPU but I had some problem and I noticed that you have train with it before and have good results so can you help me, please? I used batch hard strategy w…
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Epoch 1/60
97/97 [==============================] - 24s - loss: 1.0072 - mAP: 0.1649 - val_loss: 0.9624 - val_mAP: 0.1296
Epoch 2/60
97/97 [==============================] - 22s - loss: 1.0060 - …
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facenet use triplet-loss to train net,minimizes the distance between anchor and a positive,maximizes the distance between anchor and a negative of a different identity.
while the network is training,…
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Apologies in advance for opening this as an "Issue", but it seems to be as good of a place as anywhere for this discussion to happen. Absolutely love this project, and I love everything you're doing …
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Hello Amar.
MixVPR is an amazing job. We are trying to train it on the pittsburgh30k dataset to compare it with our approaches. How does Multi-similarity mining work on the Pittsburgh 30k training …
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Very interesting idea 💡 of extracting DAGs from Text (DEFT)! So I want to do some experiments with this code.
Running the notebook (short story case) locally of 2 of my PC’s seems to hang in the Da…