Comments (10)
We use a clean list of CASIA, which removed all the identities appearing in LFW. Using all images will violate the training protocol for LFW and it is prohibited.
from sphereface.
I have done quit lots of experiments but not reproduced your results;
could you open your clean list if possible?
or just give some statistics of your data, i just want to figure out how different between yours and mine, and may this is the reason.
from sphereface.
thx
from sphereface.
The repo already contains the code to produce our training list.
from sphereface.
ok,thx
from sphereface.
How many photos and classes must be in washed casia web face?
from sphereface.
@wy1iu @qiqiguaitm So the casia webface used in this repo is different from https://groups.google.com/forum/#!topic/cmu-openface/Xue_D4_mxDQ?
from sphereface.
Based on this, https://github.com/happynear/FaceDatasets/tree/master/CASIA, it seems like there are identities that you have not excluded from your train set. Does that mean that your accuracy on LFW is not reliable?
from sphereface.
@yxchng
As I experimented, it doesn't affect much on LFW because there are more than 10,000 identities in LFW. 17 is an ignorable number compared with 10,000.
But for MegaFace FaceScrub set1, there are 42 overlap identities between it and WebFace. Note that there are only 80 identities in FaceScrub set1, which means over half of the identities are already trained. The performance drops significantly on MegaFace if the overlap identities are removed.
from sphereface.
@happynear When you say doesn't affect much, do you mean I can reproduce the result of this paper with identities from https://github.com/happynear/FaceDatasets/blob/master/CASIA/webface_lfw_overlap.txt removed? Currently, I am unable to. Are you?
from sphereface.
Related Issues (20)
- How to construct your input text file?
- cos(4\theta ) issue
- C + + version
- LFW 1024-dim HOT 1
- the value of MarginInnerProduct param HOT 2
- bad results but good loss HOT 1
- lambda on test
- Data Preprocess HOT 1
- Data preprocess
- Index exceeds matrix dimensions when runing evaluation.m
- Invalid MEX-file '/home/caffe/matlab/+caffe/private/caffe_.mexa64': /usr/local/lib/libopencv_imgcodecs.so.3.4: undefined symbol: _ZN2cv6detail17check_failed_autoEmmRKNS0_12CheckContextE.
- sphereFace划分的类别数等于训练集中人脸总数吗? HOT 1
- why my softmax loss [email protected] , who can help me ?
- Effect of mean and scale during the training
- coverted
- 性质2是怎么证明的呢
- Is any one know how to plot the Fig. 5 in paper? What type of tool is required to achieve this? HOT 2
- what is the function of normalizing weights?
- Compare untrained new faces from photos with multiple faces
- How to generate ' lfw-112X112 ' ?
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 sphereface.