GEM: A General Evaluation Benchmark for Multimodal Tasks

In this paper, we present GEM as a General Evaluation benchmark for Multimodal tasks. Different from existing datasets such as GLUE, SuperGLUE, XGLUE and XTREME that mainly focus on natural language tasks, GEM is a large-scale vision-language benchmark, which consists of GEM-I for image-language tas...

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Bibliographische Detailangaben

Hauptverfasser:	Su, Lin, Duan, Nan, Cui, Edward, Ji, Lei, Wu, Chenfei, Luo, Huaishao, Liu, Yongfei, Zhong, Ming, Bharti, Taroon, Sacheti, Arun
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language Computer Science - Computer Vision and Pattern Recognition Computer Science - Multimedia
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