-
-
# GhostVLAD for set-based face recognition #
- Author: Yujie Zhong, Relja Arandjelović, Andrew Zisserman
- Origin: https://arxiv.org/abs/1810.09951
- Related:
- http://bbs.cvmart.net/articles/…
-
May I ask how "./ghostvlad/training_data.npz" is generated,
In addition, which dataset is the "pretrained/saved_model.uisrnn_benchmark" model trained on?
-
Can you use https://github.com/WeidiXie/VGG-Speaker-Recognition or your re-implementation (https://github.com/taylorlu/ghostvlad-speaker) to reproduce pretrained speaker model ? If yes, how?
-
I'm using Google Colab to run this code over CPU and GPU but it doesn't work when I'm trying to run it.
My libraries version:
```
Keras==2.4.3
tensorflow==2.5.0
torch==1.9.0+cu102
```
Error…
-
How long should speakerDiarization.py take to run on a typical system with a GPU?
I ran the speakerDiarization.py example and it segmented the file correctly. However, it's very slow. It takes abou…
-
I have hindi-english mixed audio with almost 130 speakers each having 200 utterances of length between 4 sec -10 sec. I made d-vector using vgg-speaker recognition model (pre-trained given in vgg-spea…
-
What audio data did you use to train uisrnn model?
gen35 updated
2 years ago
-
In your previous VoxCeleb2 paper, the best EER on VoxCeleb1 is 2.87%, whose model applies NetVLAD/GhostVLAD. But here you apply SAP. Currently ignoring Angular Prototypical loss, you also get a good r…
-
as commit show that the exp add netvlad / ghostvlad, what's the result of these pooling strategy with tdnn?