Publication: SignCLIP: Connecting Text and Sign Language by Contrastive Learning
SignCLIP: Connecting Text and Sign Language by Contrastive Learning
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Jiang, Z., Sant Muniesa, G., Moryossef, A., Müller, M., Sennrich, R., & Ebling, S. (2024). SignCLIP: Connecting Text and Sign Language by Contrastive Learning. 9171–9193. https://aclanthology.org/2024.emnlp-main.518
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We present SignCLIP, which re-purposes CLIP (Contrastive Language-Image Pretraining) to project spoken language text and sign language videos, two classes of natural languages of distinct modalities, into the same space. SignCLIP is an efficient method of learning useful visual representations for sign language processing from large-scale, multilingual video-text pairs, without directly optimizing for a specific task or sign language which is often of limited size.We pretrain SignCLIP on Spreadthesign, a prominent sign language dictio
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Jiang, Z., Sant Muniesa, G., Moryossef, A., Müller, M., Sennrich, R., & Ebling, S. (2024). SignCLIP: Connecting Text and Sign Language by Contrastive Learning. 9171–9193. https://aclanthology.org/2024.emnlp-main.518
