-
Hi guys,
I tested A-Softmax loss on CASIA dataset and it really does well, reaching a ~99% performance on lfw without careful tuning. But when I switch to use the MS-Celeb-1M datasets for training(…
-
I've downloaded the sample 32x32 celeb dataset linked in the readme, and then used the same line to call training on this data as in the readme (except I changed the path to data to match my local set…
-
at the beginning,i use m as “type:SINGLE”,and the loss converge,acc can is about 0.98.
but when i change the m as “type:QUADRUPLE”,the loss become larger and larger,and acc come down also。
…
-
-
I'm try to compute the cosine similarity of a couple of Asian faces, but it seems facenet can be confused by these faces (two total different faces can have 0.7 or higher cosine similarity). Is this n…
-
I tried to repeat the work in StarGAN paper with RaFD dataset. I didn't change the parameters but the results is terrible. It looks the same of each row, which should be with different attributes like…
-
![image_epoch_450](https://github.com/VinAIResearch/LFM/assets/49804057/0a9fb38a-6fe3-435b-a55e-fbd2909ab632)
Hi! I have generated 450 images, and the facial features are already clear.…
-
I have train a model use the cleaned ms_1m data it have 79056 person.but when I use m=4 to finetuning,it failed. when i use m=2. the model test on LFW only acheive 99.1%.how to improve the performfac…
-
Hey,
It is a nice work and really appreciated.
I am getting an error when i run `python model.py`. May i ask you what could be the problem?
Thanks!
![Screenshot from 2021-12-08 15-44-53](htt…
-
> Why this error was thrown when I run this net?
> registry.count(type) == 1 (0 vs. 1) Unknown layer type: Identity2Verify
You should merge **deepid2_caffe/caffe_master/src/caffe/layers/** into yo…