7th Edition of International Fingerprint Liveness Detection Competition
The LivDet 2021 competition is open to all academic and industrial institutions which have a solution for software-based fingerprint liveness detection and verification problem. Each participant is invited to submit its algorithm in a Win32 or Linux console application. The performance will be evaluated by utilizing a very large data set of #fake” and #live” fingerprint images captured by two devices. This edition of LivDet 2021 has two challenges:
- The Liveness Detection in Action challenge to investigate at which extent the integration of a liveness detector can impact, at the state-of-the-art, on the whole performance of a fingerprint verification system.
- The Fingerprint representation challenge to investigate the compactness and the discriminability of feature vectors used by state-of-the-art Fingerprint Presentation Attack Detectors.
Organisers: Prof.Gian Luca Marcialis
Preferred contact person: Prof.Gian Luca Marcialis, livdet.diee@unica.it
Website: http://livdet.diee.unica.it
Schedule: Final report for IJCB around: May, 31th, 2021
Liveness Detection Competition – Face (LivDet-Face 2021)
Summary: Despite the high accuracy of current face recognition algorithms, the overall reliability of face recognition systems depends also on their capabilities of presentation attack detection (PAD). LivDet-Face 2021 competition will serve as a benchmark in face presentation attack detection by offering (a) independent assessment of the current state of the art in face PAD, and (b) evaluation protocol, including publicly available datasets of spoof and live face images, that can be easily followed by researchers after the competition is closed. LivDet-Face 2021 will accept either/both single image-based and video-based algorithms from the competitors. For more information please visit https://face2021.livdet.org/
Organisers: Dr. Stephanie Schuckers, Keivan Bahmani, Sandip Purnapatra, Nic Smalt, Georgia College of Engineering, Dr. Thirimachos Bourlai, Dr. Sébastien Marcel, Dr. Amir Mohammadi
Preferred contact person: Dr. Stephanie Schuckers, sschucke@clarkson.edu
Website: https://face2021.livdet.org/
Schedule:
- Registration begins: February 15, 2021
- Registration ends: April 25, 2021
- Submission deadline: April 30, 2021
- Results released: End of May
- Paper submission to IJCB: May 31, 2021
Deepfake Game Competition (DFGC 2021)
DeepFake technology is developing fast, and realistic face-swaps are growingly deceiving and hard to be detected. On the contrary, DeepFake detection methods are also improving. There is a two-party game between DeepFake creators and detectors. We are organizing this competition to provide a common platform for benchmarking the adversarial game between current state-of-the-art DeepFake creation and detection methods. The expected outcome is a comprehensive study of the DeepFake adversarial game in the current status and to further facilitate the research community to build a better defend against DeepFake together.
Organisers: Bo Peng, Wei Wang, Jing Dong, Qi Li, Zhenan Sun, Yuezun Li, and Siwei Lyu
Preferred contact person: Dr. Bo Peng, bo.peng@nlpr.ia.ac.cn
Website: http://dfgc2021.iapr-tc4.org/
Schedule:
- Participants registration: Feb. 22-Mar. 15
- Competition starts: Mar. 1 (Participants can submit their solutions.)
- Submission system closes: Apr. 15
- Checking top solutions and announcing winners: Apr. 15 – 30
- Submitting competition summary paper: May 30
Human Identification at a Distance 2021 (HID 2021)
The competition will mainly focus on human identification at a distance in videos (HID). It will be hosted by the professional competition web site https://codalab.org/ as the previous competition HID2020 in conjunction with ACCV2020. We have organized a similar competition in 2020. This is the 2nd competition on HID. The dataset proposed for the competition will be CASIA-E, which is to be released to the scientific community. It contains 1000 subjects and hundreds of videos sequences for each subject. Consequently, it is a challenging dataset for HID.
Organisers: S. Yu, Y. Huang, L. Wang, Y. Makihara, E. B. Garca Reyes, F. Zheng and M. A. R. Ahad
Preferred contact person: Prof. Shiqi Yu, yusq@sustech.edu.cn
Website: http://hid2021.iapr-tc4.org/
Schedule:
- Competition starts: March 1, 2021
- Deadline of the 1st phase: April 10, 2021
- Deadline of the 2nd phase: April 20, 2021
- Competition results announcement: April 30, 2021
- Submitting competition summary paper: May 30, 2021
NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization (NIR-ISL 2021)
For iris recognition in non-cooperative environments, iris segmentation has been regarded as the first most important challenge still open to the biometric community, affecting all downstream tasks from normalization to recognition. In recent years, deep learning technologies have gained significant popularity among various computer vision tasks and have also affected the iris biometrics, especially iris segmentation. To investigate recent developments and attract more interests of researchers in the iris segmentation method, we are planning to host the challenge competition. In this challenge, we aim to benchmark the performance of iris segmentation on NIR iris images from Asian and African people captured in non-cooperative environments. Moreover, we specially split the general iris segmentation task in the conventional iris recognition pipeline into the segmentation of noise-free iris mask and the localization of inner and outer boundaries of the iris, which are narrowly referred to as iris segmentation and iris localization. Therefore, the challenge encourages the submission of a complete solution taking the iris segmentation and iris localization into consideration.
Organisers: Dr. Caiyong Wang, Dr. Yunlong Wang, Dr. Kunbo Zhang, Jawad Muhammad, Tianhao Lu, Prof. Qichuan Tian, Prof. Zhaofeng He, Prof. Zhenan Sun
Preferred contact person: Dr. Caiyong Wang, wangcaiyong@bucea.edu.cn
Website: https://sites.google.com/view/nir-isl2021/home
Schedule:
- Registration closes: April 20, 2021
- Prediction results and technical reports submission deadline: April 20, 2021
- Results announcement: April 30, 2021
Competition on Masked Face Recognition (IJCB-MFR-2021)
Summary: Given the current COVID-19 pandemic, it is essential to enable contactless and smooth-running operations, especially in contact-sensitive facilities like airports. Face recognition has been preferred as a contactless means of verifying identities. However, wearing masks is now essential to prevent the spread of contagious diseases and has been currently forced in public places in many countries. The performance, and thus the trust on contactless identity verification through face recognition can be impacted by the presence of a mask. The effect of wearing a mask on face recognition in a collaborative environment is currently a sensitive issue. The MFR competition is the first to attract and present technical solutions that enhance the accuracy of masked face recognition on real face masks and in a collaborative face verification scenario. All participants, who achieve competitive results, will be invited as co-authors for a summary paper of MFR. The paper will submit IJCB 2021.
Organisers: Fadi Boutros,Dr. Naser Damer, Prof. Kiran Raja, Prof. Raghavendra Ramachandra, Prof. Arjan Kuijper
Preferred contact person: Fadi Boutros, fadi.boutros@igd.fraunhofer.de
Website: https://sites.google.com/view/ijcb-mfr-2021/home
Schedule:
- Call for participation, website release, and registration open: 15, February
- Deadline for algorithm submission:
31, April, 5, May - Announcement of results to participants:
15, May, 25, May - Submit competition paper to IJCB 2021: 31, May