Visual-Text Matching (VTM)学习视频和文本模态之间的对齐方式,从而改善了跨模态融合。 Masked Language Modeling (MLM) 在MLM中,作者以15%的概率随机mask掉一些单词token。目标是从交叉模态Tranformer (CT) 建模的联合VidL特征中恢复这些mask token。具体来说,将这些mask token的对应特征h^{\mathrm{x}}输入到全...
Masked Language Modeling (MLM)预测mask词token,以在视觉感知的帮助下改善语言推理。Masked Visual-token Modeling (MVM)可恢复mask视频patch,以增强视频场景的理解。Visual-Text Matching (VTM)学习视频和文本模态之间的对齐方式,从而改善了...
Mask-predict: Parallel decoding of conditional masked language models Non-autoregressive neural machine translation Fully non-autoregressive neural machine translation: Tricks of the trade 4.方法论 VQGAN 用于第一阶段量化,沿用之前的工作,应该还有改进空间 MVTM masked visual tokens modeling 用于第二阶段建模...
-LanguagE Transformer, which adopts a video transformer to explicitly model the temporal dynamics of video inputs. Further, unlike previous studies that found pre-training tasks on video inputs (e.g., masked frame modeling) not very effective, we design a new pre-...
Masked visual modeling. Early works treated masking in denoised autoencoders [66] or context inpainting [52]. In- spired by the great success in NLP [6, 16], iGPT [9] op- erated pixel sequences for prediction and ViT [17] investi- gated the masked token...
In particular, BERT [11] introduces the masked language modeling (MLM) task for language representation learning. The bi-directional self- attention used in BERT [11] allows the masked tokens in Input Visual Tokens Reconstruction Masked Tokens Bidirectional Transformer Predicted Tokens Figure 3. ...
A method and system pre-trains a convolutional neural network for image recognition based upon masked language modeling by inputting, to the convolutional neural network, an image; outputting, from the convolutional neural network, a visual embedding tensor of visual embedding vectors; tokenizing a ...
Paper tables with annotated results for VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling
Masked language modeling and its autoregressive counteroarts (BERT and GPT) 1. 提供一部分的输入序列,训练模型来预测另一部分序列(缺失)的内容。---这些方法已经被证明可以很好地扩展[4],大量的证据表明,这些预先训练的表征可以很好地推广到各种下游任务。
masked sentiment word prediction, which is the auxiliary task modify from mask language modeling, used to enhance the model performance. The experimental results indicate that the proposed DVA-BERT model can identify effective sentiment features by masking sentiment words and can outperform the original...