Exploring unified video-language pre-training

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August undefined, 2024

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 … WebAll 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 …

Video-Text Pre-training with Learned Regions - Semantic Scholar

WebFeb 15, 2024 · This paper proposes UniVL: a Unified Video and Language pre-training model for both multimodal understanding and generation. It comprises four components, including two single-modal encoders, a cross encoder, and a … 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 … f a thorpe publishers

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Web[Mar 2024] We release the first and simplest e2e one-stream video-language pre-training method: "All in One: Exploring Unified Video-Language Pre-training" in arix! Code and … WebMar 14, 2024 · All in One: Exploring Unified Video-Language Pre-training Authors: Alex Jinpeng Wang Yixiao Ge Rui Yan Nanjing University of Science and Technology Yuying … WebAll in One: Exploring Unified Video-Language Pre-training. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Satoshi Tsutsui, Zhengyang Su, and Bihan Wen. (2024). Benchmarking White … friday night funkin fnaf security breach mod

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CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language ...

WebSep 14, 2024 · This paper proposes a temporal adaptation recipe on top of one video-language model, VideoCLIP, based on post-pretraining on a small amount of video-text data, and conducts a zero-shot evaluation of the adapted models on six datasets for three downstream tasks which require a varying degree of time awareness. Expand PDF Save … WebPre-training Data • The major video -and-language dataset for pre -training: 10 • 1.22M instructional videos from YouTube • Each video is 6 minutes long on average • Over 100 million pairs of video clips and associated narrations HowTo100M Dataset [Miech et al., ICCV 2024] Pre-training Data 11 Figure credits: from the original papers friday night funkin fnaf modeWebSep 9, 2024 · Therefore, in this work, we propose to pre-train prompts by adding soft prompts into the pre-training stage to obtain a better initialization. We name this Pre-trained Prompt Tuning framework "PPT". To ensure the generalization of PPT, we formulate similar classification tasks into a unified task form and pre-train soft prompts for this unified ... friday night funkin fnaf security breach

"WebFeb 2, 2024 · METER is a general framework for training performant end-to-end vision-language transformers using a variety of possible sub-architectures for the vision encoder, text encoder, multimodal fusion and decoder modules. Unified Vision-Language pretrained Model uses a modular transformer network to jointly learn a dual encoder and a fusion … " - Exploring unified video-language pre-training

Exploring unified video-language pre-training

Figure 4 from Clover: Towards A Unified Video-Language …

WebYixiao Ge (葛艺潇) Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …. Proceedings of the IEEE/CVF international conference on computer vision …. … Web(1) We introduce the simplest, most lightweight, and most efficient video-language model for pre-training, namely All-in-one Transformer, which is the first to capture video-language …

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WebAll 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. 38: 2024: VX2TEXT: End-to-End Learning of Video … 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 …

WebDec 2, 2024 · ArXiv Video-Text pre-training aims at learning transferable representations from large-scale video-text pairs via aligning the semantics between visual and textual … WebObject-aware Video-language Pre-training for Retrieval. Alex Jinpeng Wang, Yixiao Ge, Guanyu Cai, Rui Yan, Xudong Lin, Ying Shan, Xiaohu Qie, Mike Zheng Shou. CVPR, …

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 · … 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...

WebFeb 15, 2024 · This paper proposes UniVL: a Unified Video and Language pre-training model for both multimodal understanding and generation. It comprises four components, … fat ho restaurantWebMar 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 … friday night funkin fnf modsWebApr 1, 2024 · This paper experimentally analyze and demonstrate the incompatibility of current VTP methods with localization tasks, and proposes a novel Localization-oriented Video-Text Pre-training framework, dubbed as LocVTP, which achieves state-of-the-art performance on both retrieval-based and localization-based tasks. 17 Highly Influenced … friday night funkin fnaf transparentWebSep 15, 2024 · Luo H, Ji L, Shi B, et al. UniViLM: A unified video and language pre-training model for multimodal understanding and generation. ArXiv: 2002.06353. Li G, Duan N, Fang Y, et al. Unicoder-vl: A universal encoder for vision and language by cross-modal pre-training. In: Proceedings of the AAAI Conference on Artificial Intelligence. f a thorpe publishingWebExisting 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 … fat horrid henryWebFeb 15, 2024 · This paper proposes UniVL: a Unified Video and Language pre-training model for both multimodal understanding and generation. It comprises four components, … fathorse consulting limitedWebAll in One: Exploring Unified Video-Language Pre-training - NASA/ADS Mainstream Video-Language Pre-training models \cite{actbert,clipbert,violet} consist of three parts, a video encoder, a text encoder, and a video-text fusion Transformer. fathor rahman