-
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…
-
8th plase: DeepLabV3 with different encoders.
Group Normalization for small batch
Mask threshold (due to bad metric)
Weighted BCE loss for classification-segmentation models.
Ensemble of 3 top we…
-
**Environment:**
1. Framework: PyTorch
2. Framework version: 1.9.0
3. Horovod version: 0.23.0
4. MPI version: 3.1.2
5. CUDA version: 10.1
6. NCCL version:
7. Python version: 3.6.2
8. Spark / …
-
Hi @wanji ,
could you please clarify the loss that is minimized in `BatchTripletLossLayer` layer and point to a paper that is explaining it?
In particular what is the `mu` parameter in
> layer {
> …
-
Your model works very well. I really wanna know which technique you used to train this embedding? Did you use triplet loss or any other special technique? Thank you.
-
I have a dataset image here, how could I fine-tune model with my dataset using triplet loss?
-
I am grateful for your source @bassyess disclosure.
I am replicating the 2nd stage from this source. However, unlike the experimental results in the paper, I couldn't achieve that outcome. It's n…
-
I'm trying to train a GeneratorUNet on a server with an A6000. On the first batch, it hangs and then throws this error:
```
.venv/lib/python3.12/site-packages/tinygrad/runtime/support/hcq.py", lin…
-
This question is very broad and theoretical so apologies for that!
I would love to learn more about various loss functions which could be implemented in `tfrs` - when looking at other libs such `li…
-
Hello!
I could run successfully the face recognition part.
However, running your code for the voice recognition part is raising problems. Could you please share your dataset and triplet_loss_trai…