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自动化所李子青老师组的【人脸检测】评估网页

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发表于 2015-4-24 09:55:37 | 显示全部楼层 |阅读模式
Fine-grained evaluation of face detection in the wild


Welcome!

Welcome to the Multi-Attribute Labelled Faces (abbreviated as MALF), which is a large dataset designed for fine-grained evaluation of face detection in the wild. This website provides:

descriptions of the dataset, annotations and evaluation rules;how to download the dataset for evaluation;how to submit your results to this website for others to compare with;performance comparison of all algorithms.
http://www.cbsr.ia.ac.cn/faceEvaluation/#


评估结果http://www.cbsr.ia.ac.cn/faceEvaluation/results.html#


List of algorithms
Commercial systemsPublished algorithmsUn-published results
Results on
whole test setsmall faces set (smaller than 60x60)large faces set (larger than 90x90)'easy' set'hard' set


List of Algorithms
Commercial systems[top]
No.CodeNameInstituteDescriptionDownlaod
1
iPhotoAppleVersion 9.6curves
2
FacePP_v1MegviiFace++ online free API. Request date: 2014.10.08curves
3
FacePP_v2MegviiFace++ internal versioncurves
4
PicasaGoogleGoogle Picasa Version 3.7curves
5
GalleryMicrosoftWindows Photo Gallery Version 16.4.3528.331curves


Published algorithms[top]
No.CodeNamePublicationDescriptionDownload
1
ACFB. Yang, J. Yan, Z. Lei and S.Z. Li. Aggregate channel features for multi-view face detection. In IJCB, 2014.-curves
2
DPMM. Mathias, R. Benenson, M. Pedersoli, and L. Van Gool. Face detection without bells and whistles. In ECCV, 2014.Open source codescurves
3
ExemplarH. Li, Z. Lin, J. Brandt, X. Shen, and G. Hua. Efficient boosted exemplar-based face detection. In CVPR, 2014.-curves
4
HeadhunterM. Mathias, R. Benenson, M. Pedersoli, and L. Van Gool. Face detection without bells and whistles. In ECCV, 2014.Doppiacurves
5
SqrChnFtrs-5(ICF)M. Mathias, R. Benenson, M. Pedersoli, and L. Van Gool. Face detection without bells and whistles. In ECCV, 2014.Doppiacurves
6
PicoN. Markus, M. Frljak, I. S. Pandzic, J. Ahlberg, and R. Forchheimer. Object detection with pixel intensity comparisons organized in decision trees. arXiv:1305.4537, 2014.-curves
7
NPDS. Liao, A. K. Jain, and S. Z. Li. A fast and accurate unconstrained face detector. arXiv:1408.1656, 2014.-curves
8
SPMA. EL-Barkouky, A. Shalaby, A. Mahmoud, and A. Farag. Selective part models for detecting partially occluded faces in the wild. In ICIP. IEEE, 2014.-curves
9
SurfCasJ. Li and Y. Zhang. Learning SURF Cascade for Fast and Accurate Object Detection. In CVPR, 2013.Open source codescurves
10
TSMX. Zhu and D. Ramanan. Face detection, pose estimation, and landmark localization in the wild. In CVPR, 2012.Open source codescurves
11
VJP. Viola and M. J. Jones. Robust real-time face detection. In IJCV. IEEE, 2004.OpenCVcurves
12
W.S.BoostZ. Kalal, J. Matas, and K. Mikolajczyk. Weighted sampling for largescale boosting. In BMVC, 2008.Open source codescurves
13
MBLBPL. Zhang, R. Chu, S. Xiang, S. Liao, and S. Z. Li. Face detection based on multi-block lbp representation. In Advances in biometrics. Springer, 2007.-curves
14
JDAD. Chen, S. Ren, Y. Wei, X. Cao, and J. Sun. Joint Cascade Face Detection and Alignment. ECCV, 2014.-curves

Note:
Algorithms No. 9, 10, 12 are tested by ourselves using open source codes released by the original authors. We appreciate that these authors update their results.
More details please refer to our evaluation paper.



Un-published results[top]
No.CodeNameDescriptionDownload
1
VJ-hybVJ hybridcurves
2
B-DATDPM basedcurves
3
SZUShenzhen Universitycurves









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