Exploring unified video-language pre-training
WebSep 14, 2024 · The proposed multi-grained vision language pretraining approach is advanced by unifying image and video encoding in one model and scaling up the model … WebAlex Jinpeng Wang, Yixiao Ge, Rui Yan, Yuying Ge, Xudong Lin, Guanyu Cai, Jianping Wu, Ying Shan, Xiaohu Qie, and Mike Zheng Shou. 2024. All in One: Exploring Unified Video-Language Pre-training. arXiv preprint arXiv:2203.07303 (2024). Google Scholar; Heng Wang and Cordelia Schmid. 2013. Action recognition with improved trajectories.
Exploring unified video-language pre-training
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WebMar 15, 2024 · All in One: Exploring Unified Video-Language Pre-training Mar 15, 2024 2 min read All-in-one Code for the paper: All in One: Exploring Unified Video-Language … WebJan 7, 2024 · Revitalize Region Feature for Democratizing Video-Language Pre-training 18 March 2024. Search GrIPS: Gradient-free, Edit-based Instruction Search for Prompting …
WebLAVENDER: Unifying Video-Language Understanding as Masked Language Modeling, arXiv 2024. Comparison to existing methods on downstream image/video question … WebFeb 12, 2024 · Revitalize Region Feature for Democratizing Video-Language Pre-training 18 March 2024. Search GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models ... 16 March 2024. Video All in One: Exploring Unified Video-Language Pre-training. All in One: Exploring Unified Video-Language Pre-training …
WebAll in One: Exploring Unified Video-Language Pre-training Jinpeng Wang · Yixiao Ge · Rui Yan · Yuying Ge · Kevin Qinghong Lin · Satoshi Tsutsui · Xudong Lin · Guanyu Cai · … WebAbstract: This paper presents a new Unified pre-trained Language Model (UniLM) that can be fine-tuned for both natural language understanding and generation tasks. The model …
WebExisting pre-training are task-specific by adopting either a single cross-modal encoder that requires both modalities, limiting their use for retrieval-style end tasks or more complex …
WebJan 26, 2024 · Image-text pretrained models, e.g., CLIP, have shown impressive general multi-modal knowledge learned from large-scale image-text data pairs, thus attracting increasing attention for their... dutch acoustic musicWebgeneral vision-language pre-training. The pre-trained model is then fine-tuned for image captioning and visual question answering. Thanks to our vision-language pre-training, both training speed and overall accuracy have been significantly improved on the downstream tasks compared to random ini-tialization or language-only pre-training. crypton110WebUniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation. arxiv: 1906.05743 Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac, Makarand Tapaswi, Ivan Laptev, and Josef Sivic. 2024. HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips. In ICCV. IEEE. dutch actress meyersWebMar 14, 2024 · All in One: Exploring Unified Video-Language Pre-training. Mainstream Video-Language Pre-training models \cite {actbert,clipbert,violet} consist of three parts, a … crypton.com arenaWebExisting pre-training are task-specific by adopting either a single cross-modal encoder that requires both modalities, limiting their use for retrieval-style end tasks or more complex multitask learning with two unimodal … crypton yellow fabricWebAll in One: Exploring Unified Video-Language Pre-training. AJ Wang, Y Ge, R Yan, Y Ge, X Lin, G Cai, J Wu, Y Shan, X Qie, MZ Shou. arXiv preprint arXiv:2203.07303, 2024. 33: 2024: ... Miles: visual bert pre-training with injected language semantics for … dutch accounting namescryptonaires documentary brad kimes