贾伟中科院合肥 发表于 2015-4-24 09:55:37

自动化所李子青老师组的【人脸检测】评估网页

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
No.CodeNameInstituteDescriptionDownlaod
1iPhotoAppleVersion 9.6curves
2FacePP_v1MegviiFace++ online free API. Request date: 2014.10.08curves
3FacePP_v2MegviiFace++ internal versioncurves
4PicasaGoogleGoogle Picasa Version 3.7curves
5GalleryMicrosoftWindows Photo Gallery Version 16.4.3528.331curves


Published algorithms
No.CodeNamePublicationDescriptionDownload
1ACFB. Yang, J. Yan, Z. Lei and S.Z. Li. Aggregate channel features for multi-view face detection. In IJCB, 2014.-curves
2DPMM. Mathias, R. Benenson, M. Pedersoli, and L. Van Gool. Face detection without bells and whistles. In ECCV, 2014.Open source codescurves
3ExemplarH. Li, Z. Lin, J. Brandt, X. Shen, and G. Hua. Efficient boosted exemplar-based face detection. In CVPR, 2014.-curves
4HeadhunterM. Mathias, R. Benenson, M. Pedersoli, and L. Van Gool. Face detection without bells and whistles. In ECCV, 2014.Doppiacurves
5SqrChnFtrs-5(ICF)M. Mathias, R. Benenson, M. Pedersoli, and L. Van Gool. Face detection without bells and whistles. In ECCV, 2014.Doppiacurves
6PicoN. 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
7NPDS. Liao, A. K. Jain, and S. Z. Li. A fast and accurate unconstrained face detector. arXiv:1408.1656, 2014.-curves
8SPMA. 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
9SurfCasJ. Li and Y. Zhang. Learning SURF Cascade for Fast and Accurate Object Detection. In CVPR, 2013.Open source codescurves
10TSMX. Zhu and D. Ramanan. Face detection, pose estimation, and landmark localization in the wild. In CVPR, 2012.Open source codescurves
11VJP. Viola and M. J. Jones. Robust real-time face detection. In IJCV. IEEE, 2004.OpenCVcurves
12W.S.BoostZ. Kalal, J. Matas, and K. Mikolajczyk. Weighted sampling for largescale boosting. In BMVC, 2008.Open source codescurves
13MBLBPL. 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
14JDAD. 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
No.CodeNameDescriptionDownload
1VJ-hybVJ hybridcurves
2B-DATDPM basedcurves
3SZUShenzhen Universitycurves









页: [1]
查看完整版本: 自动化所李子青老师组的【人脸检测】评估网页