7/18/2023 0 Comments Clip a clip![]() Language-Image Pretraining (CLIP) model, our model involves a TemporalÄifference Block to capture motions at fine temporal video frames, and a Specifically, based on the spatial semantics captured by Contrastive Respectively, make it able to train on comparatively small datasets. Image-text and enhancing temporal relations between video frames and video-text Image-language model, simplify it as a two-stage framework with co-learning of ![]() Different from them, we leverage pretrained Video features and multi-modal interaction between videos and languages from a The domain of video-and-language learning try to distill the spatio-temporal Model to video-text retrieval in an end-to-end manner. ![]() Download a PDF of the paper titled CLIP2Video: Mastering Video-Text Retrieval via Image CLIP, by Han Fang and 3 other authors Download PDF Abstract: We present CLIP2Video network to transfer the image-language pre-training
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