Comments (1)
paweller
commented on May 27, 2024
Yes, it is true that the inter-class (or negative) distances should increase while the intra-class (or positive) distance should decrease during training. The triplet loss aims to do exactly that.
Regarding the monitoring process you can use the mean inter-class or intra-class distance. However, as those can differ a lot from project to project, you might want to rather use other metrics. These could be a triplet error rate (number_of(d(A,P)-d(A,N) > 0) / number_total_triplets) or the AUC-ROC metric or simply the L2 distance.
from tensorflow-triplet-loss.
Related Issues (20)
- What does 'embedding_mean_norm' mean? HOT 2
- loss=0 in step=101(after two step) HOT 1
- Saving weights of model and calculation of embeddings HOT 1
- Using batch_all_triplet_loss function HOT 2
- Embeddings Collapse very fast
- fraction_positive increasing HOT 4
- the function of _get_triplet_mask in triplet_loss.py
- base_model
- Multi domain triplet loss
- Why average loss value by `batch_size` when using `batch_hard` method?
- PyTorch Implmentation of triplet loss
- the difference between tf.contrib.losses.metric_learning.triplet_semihard_loss and batch_all_triplet_loss
- Implementation of metrics to monitor training process in tf.keras environment
- Advice on which loss to optimize HOT 2
- Performance issues in the program
- Performance issue in /model/tests (by P3) HOT 1
- Got Nan value when label's id is greater than 159 HOT 1
- hard triplet convergence!
- Some corrections in MNIST_dataset since TF 2.0
- OSS License compatibility question
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from tensorflow-triplet-loss.