The Unconstrained Ear Recognition Challenge 2023: Maximizing Performance and Minimizing Bias*

Žiga Emeršič(University of Ljubljana), Vitomir Štruc(University of Ljubljana), Hazım Kemal Ekenel(Istanbul Technical University), Guillermo Cámara-Chávez(Universidade Federal de Ouro Preto), Sébastien Marcel(Idiap Research Institute), Saburo Maeda(Shizuoka University), Peter Peer(University of Ljubljana), Fadi Boutros(Fraunhofer Institute for Computer Graphics Research), Emine Ülkü Sarıtaş(Bilkent University), Valter Hudovernik(University of Ljubljana), Naoufel Werghi(Khalifa University of Science and Technology), Naser Damer(Fraunhofer Institute for Computer Graphics Research), Iyyakutti Iyappan Ganapathi(Khalifa University of Science and Technology), Yasuhiro Sato(Shizuoka University), Muku Akasaka(Shizuoka University), Jan Niklas Kolf(Fraunhofer Institute for Computer Graphics Research), Sajid Javed(Khalifa University of Science and Technology), Selin GÖK IŞIK(Istanbul Technical University), Gulshan Sharma(Lovely Professional University), Amrit K. Kamboj(Cedars-Sinai Medical Center), Tetsushi Ohki(Shizuoka University), Aditya Nigam(Indian Institute of Technology Mandi), Deepak Kumar Jain(Symbiosis International University), Takahiko Arakawa(Shizuoka University), Anjith George(Idiap Research Institute), Manabu Okano(Shizuoka University), Shahnaz Ali(Khalifa University of Science and Technology)
Unknown
September 25, 2023
Cited by 8


Related Papers