I want to use pre-trained model for the face identification. I try to use Siamese architecture which requires a few number of images. Could you give me any trained model which I can change for the Siamese architecture? How can I change the network model which I can put two images to find their similarities (I do not want to create image based on the tutorial here)? I only want to use the system for real time application. Do you have any recommendations?
Face Recognition based on Deep Learning (Siamese Architecture)
848 views Asked by Video Analysis Deep Learning At
1
There are 1 answers
Related Questions in NEURAL-NETWORK
- Add image to JCheckBoxMenuItem
- How to access invisible Unordered List element with Selenium WebDriver using Java
- Inheritance in Java, apparent type vs actual type
- Java catch the ball Game
- Access objects variable & method by name
- GridBagLayout is displaying JTextField and JTextArea as short, vertical lines
- Perform a task each interval
- Compound classes stored in an array are not accessible in selenium java
- How to avoid concurrent access to a resource?
- Why does processing goes slower on implementing try catch block in java?
Related Questions in COMPUTER-VISION
- Add image to JCheckBoxMenuItem
- How to access invisible Unordered List element with Selenium WebDriver using Java
- Inheritance in Java, apparent type vs actual type
- Java catch the ball Game
- Access objects variable & method by name
- GridBagLayout is displaying JTextField and JTextArea as short, vertical lines
- Perform a task each interval
- Compound classes stored in an array are not accessible in selenium java
- How to avoid concurrent access to a resource?
- Why does processing goes slower on implementing try catch block in java?
Related Questions in DEEP-LEARNING
- Add image to JCheckBoxMenuItem
- How to access invisible Unordered List element with Selenium WebDriver using Java
- Inheritance in Java, apparent type vs actual type
- Java catch the ball Game
- Access objects variable & method by name
- GridBagLayout is displaying JTextField and JTextArea as short, vertical lines
- Perform a task each interval
- Compound classes stored in an array are not accessible in selenium java
- How to avoid concurrent access to a resource?
- Why does processing goes slower on implementing try catch block in java?
Related Questions in CAFFE
- Add image to JCheckBoxMenuItem
- How to access invisible Unordered List element with Selenium WebDriver using Java
- Inheritance in Java, apparent type vs actual type
- Java catch the ball Game
- Access objects variable & method by name
- GridBagLayout is displaying JTextField and JTextArea as short, vertical lines
- Perform a task each interval
- Compound classes stored in an array are not accessible in selenium java
- How to avoid concurrent access to a resource?
- Why does processing goes slower on implementing try catch block in java?
Related Questions in NVIDIA-DIGITS
- Add image to JCheckBoxMenuItem
- How to access invisible Unordered List element with Selenium WebDriver using Java
- Inheritance in Java, apparent type vs actual type
- Java catch the ball Game
- Access objects variable & method by name
- GridBagLayout is displaying JTextField and JTextArea as short, vertical lines
- Perform a task each interval
- Compound classes stored in an array are not accessible in selenium java
- How to avoid concurrent access to a resource?
- Why does processing goes slower on implementing try catch block in java?
Popular Questions
- How do I undo the most recent local commits in Git?
- How can I remove a specific item from an array in JavaScript?
- How do I delete a Git branch locally and remotely?
- Find all files containing a specific text (string) on Linux?
- How do I revert a Git repository to a previous commit?
- How do I create an HTML button that acts like a link?
- How do I check out a remote Git branch?
- How do I force "git pull" to overwrite local files?
- How do I list all files of a directory?
- How to check whether a string contains a substring in JavaScript?
- How do I redirect to another webpage?
- How can I iterate over rows in a Pandas DataFrame?
- How do I convert a String to an int in Java?
- Does Python have a string 'contains' substring method?
- How do I check if a string contains a specific word?
Popular Tags
Trending Questions
- UIImageView Frame Doesn't Reflect Constraints
- Is it possible to use adb commands to click on a view by finding its ID?
- How to create a new web character symbol recognizable by html/javascript?
- Why isn't my CSS3 animation smooth in Google Chrome (but very smooth on other browsers)?
- Heap Gives Page Fault
- Connect ffmpeg to Visual Studio 2008
- Both Object- and ValueAnimator jumps when Duration is set above API LvL 24
- How to avoid default initialization of objects in std::vector?
- second argument of the command line arguments in a format other than char** argv or char* argv[]
- How to improve efficiency of algorithm which generates next lexicographic permutation?
- Navigating to the another actvity app getting crash in android
- How to read the particular message format in android and store in sqlite database?
- Resetting inventory status after order is cancelled
- Efficiently compute powers of X in SSE/AVX
- Insert into an external database using ajax and php : POST 500 (Internal Server Error)
I suppose you can use this model, described in Xiang Wu, Ran He, Zhenan Sun, Tieniu Tan A Light CNN for Deep Face Representation with Noisy Labels (arXiv 2015) as a a strating point for your experiments.
As for the Siamese network, what you are trying to earn is a mapping from a face image into some high dimensional vector space, in which distances between points reflects (dis)similarity between faces.
To do so, you only need one network that gets a face as an input and produce a high-dim vector as an output.
However, to train this single network using the Siamese approach, you are going to duplicate it: creating two instances of the same net (you need to explicitly link the weights of the two copies). During training you are going to provide pairs of faces to the nets: one to each copy, then the single loss layer on top of the two copies can compare the high-dimensional vectors representing the two faces and compute a loss according to a "same/not same" label associated with this pair.
Hence, you only need the duplication for the training. In test time (
'deploy') you are going to have a single net providing you with a semantically meaningful high dimensional representation of faces.For a more advance Siamese architecture and loss see this thread.
On the other hand, you might want to consider the approach described in Oren Tadmor, Yonatan Wexler, Tal Rosenwein, Shai Shalev-Shwartz, Amnon Shashua Learning a Metric Embedding for Face Recognition using the Multibatch Method (arXiv 2016). This approach is more efficient and easy to implement than pair-wise losses over image pairs.