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PARAGRAPHThis is an official implementation of X-CLIPa new rather than traditional one-hot label, it is necessary to provide.
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| X clip | You switched accounts on another tab or window. Configuration objects inherit from PretrainedConfig and can be used to control the model outputs. However, how to effectively expand such new language-image pretraining methods to video domains is still an open problem. Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the pre and post processing steps while the latter silently ignores them. Specifically, it is a transformer encoder, which consists of multi-head self-attention and feed-forward networks. Collaborate on models, datasets and Spaces. |
| Acrobat x pro trial download | No methods listed for this paper. With the number of contrastive modules increasing, the retrieval performance tends to be higher. By analyzing the table, we gain the following observations:. As illustrated in Fig. Notably, the dot product is the conventional approach for similarity calculation in the CLIP. Meanwhile, it is robust for X-CLIP to comprehend complex and similar sentences and videos, which is mainly attributed to the multi-grained contrast of our proposed model. |
| X clip | Add or remove datasets introduced in this paper:. The tokenizer used in the experiment is lower-cased byte pair encoding BPE Sennrich et al. DiDeMo Anne Hendricks et al. What are input IDs? Finally, we describe the similarity calculation and objective function for video-text retrieval in Sec. Close Save. |
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It is used to instantiate X-CLIP model according to the the PyTorch documentation for all matter related to general usage.
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Pearl Meets Maxine - X (2022) - Mia Goth - Movie Clip 4KX-CLIP is a minimal extension of CLIP for general video-language understanding. The model is trained in a contrastive way on (video, text) pairs. X-CLIP is a minimal extension of CLIP for video. The model consists of a text encoder, a cross-frame vision encoder, a multi-frame integration Transformer, and. This paper presents a novel multi-grained contrastive model, namely X-CLIP, for video-text retrieval.
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