搜索资源列表
face_detection
- face detector to detect face area in the given image
cc3_facedetector
- tEXTOS DE UN fACE dETECTOR
frg
- 新型智能识别钞票面值的验钞机程序，可以辨认目前市场上的所有面值的钞票！-New intelligent identification program notes with a face value of the Counterfeit Detector, you can identify all currently on the market with a face value of the notes!
FaceDetectionTestInCSharp
- Face detector using OpenCV library in C# language
facewin
- face detector source code
Matlab_Face_Detector
- 用matlab实现人脸检测，在实验数据库情况下证明效果良好-acheviing face detection with matlab,it is aproved good in the fae data.
facedetect
- simple face detector
FaceDetect
- 视频图像人脸识别算法，运行流畅，源代码简单-Face Detector
OpenCV
- face detector program in python with xml file
robust_face_detector
- ver robust Face detector
SVM-face-detection
- The goal of this session is to get basic practical experience with SVM classification as well as with the visual object category detection in still images. We will consider a simple face detector based on the common “scanning-window” technique.
FaceDetector(CSharp)
- PROGRAM MENGENAI FACE DETECTOR
Face-Detector
- matlab code for face detector by new method
FaceAverage
- face Average point detector
matlab-viola-jones-master
- matlab code of viola jones object/face detector
SNMSandCoexistence.tar
- 对于人群中的人脸检测的提升，后处理部分,还有score-specific NMS(face detector in crowds,score-specific NMS)
DropOut深度网络
- 深度神经网络在测试时面对如此大的网络是很难克服过拟合问题的。 Dropout能够很好地解决这个问题。通过阻止特征检测器的共同作用来提高神经网络的性能。这种方法的关键步骤在于训练时随机丢失网络的节点单元包括与之连接的网络权值。在训练的时候，Dropout方法可以使得网络变得更为简单紧凑。在测试阶段，通过Dropout训练得到的网络能够更准确地预测网络的输出。这种方式有效的减少了网络的过拟合问题，并且比其他正则化的方法有了更明显的提升。 本文通过一个简单的实验来比较使用Dropout方法前后网络