Heidelberg University, Department of Computational Linguistics; University of Pisa, Department of Computer Science; Institute of Information Science and Technologies, Italian National Council of Research; Amsterdam UMC, University of Amsterdam, Department of Medical Informatics; Amsterdam Public Health, Methodology & Mental Health, Amsterdam, The Netherlands; Koç University, Department of Computer Engineering; Hacettepe University, Department of Computer Engineering; Hacettepe University, Department of Computer Engineering; Aselsan Research; University of Malta, Institute of Linguistics and Language Technology; Koç University, KUIS AI Center; Koç University, Department of Computer Engineering; University of Malta, Institute of Linguistics and Language Technology; Utrecht University, Department of Information and Computing Sciences
İlker Kesen, Andrea Pedrotti, Mustafa Dogan, Michele Cafagna, Emre Can Acikgoz, Letitia Parcalabescu, Iacer Calixto, Anette Frank, Albert Gatt, Aykut Erdem, Erkut Erdem
vision-language benchmark;spatio-temporal grounding;video-language models;benchmark;evaluation;zero-shot
ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models