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HaVTR: Improving Video-Text Retrieval Through Augmentation Using Large Foundation Models
While recent progress in video-text retrieval has been driven by the exploration of powerful model architectures and training strategies, the representation learning ability of video-text retrieval models is still limited due to low-quality and scarce training data annotations.
Who should I Collaborate with? A Comparative Study of Academia and Industry Research Collaboration in NLP
The goal of our research was to investigate the effects of collaboration between academia and industry on Natural Language Processing (NLP).
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