-
error occur in this line
model = load_model('facenet_model/model.h5', custom_objects={'triplet_loss': triplet_loss})
can u plz tell me how can i resolve this error
-------------------------------…
-
In file hard_triplet_loss.py line 139: valid_labels = i_equal_j * (i_equal_k^ 1), why is there a '^1'?
-
# Face recognition
---
# Face verification vs. face recognition
## Verification (Binary Classification)
- Input image, name/ID
- Output whether the input image is that of the claimed person
## R…
-
I use triple loss between data of two modalities to reduce the distance between different modalities of the same class and increase the distance between different modalities of different class. But …
-
Following on problems I had while training with Triplet Loss, I went through the backend code and gathered some personal / visual explanations. Feel free to use my resources.
https://tudorvladstefa…
-
Hello,
I was wondering if it was possible to use a hard or semi hard triplet loss when you only have triplets (anchor, positive, negative) and no information about the classes each sample belongs …
-
你好,非常感谢你分享那么优秀的工作。
而且你的代码非常清楚,对于刚入门的人很友好。
但是我想问一下 `set cardinality = 30` 是每个视角下取30张图片,
`p = 8 and k = 16` 是取8个人,每个视角下取16/30张图片的意思么?
因为之前并没有接触过太多` Triplet Loss`的知识。
Thanks for your reply!
-
Dear authors,
I was trying to reproduce repllama/repmistral and to understand the logic of the code.
# 1. Why use cross-entropy loss in contrastive learning?
in this file `/usa/dayu/Tab…
-
Hi, Could you share your config file for triplet loss training?
also the data format of annotations_file?
-
Question: How do I get the embeddings after fitting using triplet loss in this example: https://mlverse.github.io/luz/articles/examples/mnist-triplet.html ?