Exploring unified video-language pre-training
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 WebMar 2, 2024 · Video Question Answering (VideoQA) aims to answer natural language questions according to the given videos. It has earned increasing attention with recent research trends in joint vision and language understanding. Yet, compared with ImageQA, VideoQA is largely underexplored and progresses slowly. Although different algorithms …
Exploring unified video-language pre-training
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WebarXiv.org e-Print archive 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 …
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 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 …
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 … WebSep 24, 2024 · Download PDF Abstract: This paper presents a unified Vision-Language Pre-training (VLP) model. The model is unified in that (1) it can be fine-tuned for either vision-language generation (e.g., image captioning) or understanding (e.g., visual question answering) tasks, and (2) it uses a shared multi-layer transformer network for both …
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...
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 … thunder flash storm bowling ballWebThe Pytorch implementation for "Video-Text Pre-training with Learned Regions" Python 36 3 sparseformer Public. 25 Repositories Type. ... [CVPR2024] All in One: Exploring Unified … thunder flash grenadeWebYixiao 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 …. … thunder flash xenoverse 2WebApr 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 … thunder flight team hollow 149WebAll 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. thunder flash ww2WebApr 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 … thunder flies insectWebAll 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 · … thunder flag football