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 multitask learning with two unimodal … 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, …

Yixiao Ge

WebSep 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 ... 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 … system doing work on its surroundings

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

WebMar 14, 2024 · Pre-training Full Video Pre-training. See TRAIN.md. Co-training with Image Dataset (All-in-one+) See COTRAIN.md. Evaluation on Downstream Tasks. See … 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, … WebAll 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. system domain cunningham

Video Question Answering: Datasets, Algorithms and Challenges

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 with large-scale data, resulting in X 2 -VLM, a pre-trained VLM with a modular architecture for both image-text and video-text tasks. Expand 2 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 … system doesn\u0027t permit flashing biosWebUniVL: 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. system down in malay

"WebJul 16, 2024 · A novel High-resolution and Diversified VIdeo-LAnguage pre-training model (HD-VILA) for many visual tasks that outperform SOTA models with relative increases and achieves new state-of-the-art results in 10 VL understanding tasks and 2 more novel text-to-visual generation tasks. 16 PDF " - Exploring unified video-language pre-training

Exploring unified video-language pre-training

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

WebApr 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 … 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 …

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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 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 …

Webgeneral 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. 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 …

WebAll in One: Exploring Unified Video-Language Pre-training. Preprint, 2024. All components in 1 single network & all downstream tasks powered by 1 pretrained model, SOTA on 9 datasets across 4 tasks 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 · …

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 …

WebFeb 18, 2024 · [CVPR2024] All in One: Exploring Unified Video-Language Pre-training pytorch codebase pre-training video-language Updated last week Python BeeStation / BeeStation-Hornet Star 161 Code Issues Pull requests Discussions 99.95% station. 0.05% bees system download managerWebMar 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 … system down scriptingWebSep 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 … system down for maintenance messageWebMar 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 … system does not have any usb boot optionWebApr 13, 2024 · A research team led by Hai-Tao Zheng from Tsinghua Shenzhen International Graduate School (Tsinghua SIGS) and Prof. Maosong Sun from the Department of Computer Science and Technology at Tsinghua University has delved into the mechanisms and characteristics of parameter-efficient fine-tuning methods for large … system down messageWebThe Pytorch implementation for "Video-Text Pre-training with Learned Regions" Python 36 3 sparseformer Public. 25 Repositories Type. ... [CVPR2024] All in One: Exploring Unified … system downtime announcement templateWebAll 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 … system downtime email