Exploring unified video-language pre-training

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August undefined, 2024

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 …

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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 … lima movie theatre

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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 … 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 WebarXiv.org e-Print archive lim and sullivan thrust kick accuracy 2016

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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 … 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 …. … lim andrew s mdWebAll 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 lima movie theater ohio

"WebLAVENDER: Unifying Video-Language Understanding as Masked Language Modeling, arXiv 2024. Comparison to existing methods on downstream image/video question … " - Exploring unified video-language pre-training

Exploring unified video-language pre-training

Video Question Answering: Datasets, Algorithms and Challenges

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. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Satoshi Tsutsui, Zhengyang Su, and Bihan Wen. (2024). Benchmarking White …

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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 … 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

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 … 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...

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. 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 ...

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

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 … lim and tan secWebAll 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. lim and tanWebFeb 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 … lim and tan securityWebThe Pytorch implementation for "Video-Text Pre-training with Learned Regions" Python 36 3 sparseformer Public. 25 Repositories Type. ... [CVPR2024] All in One: Exploring Unified … hotels near grand valley university miWebSep 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 hotels near grandview columbus ohioWebSep 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 … hotels near grandview park moundsville wvWebAll 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 … lima networks logo