[visionlist] CALL FOR PARTICIPATION IN IJCB 2021 COMPETITIONS

Manuel Jesus mjmarinj at yahoo.es
Tue Mar 2 11:22:38 -04 2021


Dear all,
[apologies for duplicate receipt]

Check out the Competitions embraced by IJCB 2021 and start preparing your contribution!
https://lnkd.in/dh688JS
1.      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: i) 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. Ii) 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

For further information, please contact: Gian Luca Marcialis, livdet.diee at unica.it

Website:http://livdet.diee.unica.it

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Schedule: Final report for IJCB around: May, 31th, 2021

 

2.      Liveness Detection Competition – Face (LivDet-Face 2021)

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

For further information, please contact: Dr. Stephanie Schuckers, sschucke at 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

 

3.      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 and Zhenan Sun

For further information, please contact:Bo Peng, bo.peng at nlpr.ia.ac.cn

Website:http://dfgc2021.iapr-tc4.org/

Schedule:

Feb. 22-Mar. 15: Participants registration.

Mar. 1: Competition starts. Participants can submit their solutions.

Apr. 15: Submission system closes.

Apr. 15 – 30: Checking top solutions and announcing winners.

May 30: Submitting competition summary paper.

 

4.      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

For further information, please contact: Prof. Shiqi YU <yusq at sustech.edu.cn>

Website:http://hid2021.iapr-tc4.org

Schedule:

 

5.      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, Jawad Muhammad, Tianhao Lu, Prof. Qichuan Tian, Prof. Zhaofeng He, Prof. Zhenan Sun

For further information, please contact: Dr. Caiyong Wang, wangcaiyong at bucea.edu.cn

Website:https://sites.google.com/view/nir-isl2021/home

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Schedule:
Site opens: February 15, 2021 

Registration starts: February 15, 2021

Training dataset available: February 15, 2021

Testing dataset made available: March 1, 2021

Registration closes: April 1, 2021

Prediction results and technical reports submission deadline: April 1, 2021

Results announcement: April 10, 2021

  


6.      Competition on Masked Face Recognition (IJCB-MFR-2021)

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

For further information, please contact: Fadi Boutros (fadi.boutros at igd.fraunhofer.de)

 Website: https://sites.google.com/view/ijcb-mfr-2021/home

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            Schedule:
15, February - Call for participation, website release, and registration open

31, April - Deadline for algorithm submission 

15, May - Announcement of results to participants

31, May - Submit competition paper to IJCB 2021

 

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