^[3] Bottom-up and top-down attention for image captioning and visual question answeringhttps://arxiv.org/pdf/1707.07998.pdf ^[4] VL-BERT: PRE-TRAINING OF GENERIC VISUALLINGUISTIC REPRESENTATIONShttps://arxiv.org/pdf/1908.08530v4.pdf ^[5] Vilbert: Pretraining task-agnostic visiolin-guistic...
VL-BERT: PRE-TRAINING OF GENERIC VISUAL-LINGUISTIC REPRESENTATIONS论文笔记 Arthur Wong Love AI & Life1 人赞同了该文章 本文引入了一种新的可预训练的视觉语言任务通用表示,称为视觉语言BERT(简称VL-BERT)。VL-BERT采用了简单但功能强大的Transformer模型作为骨干,并对其进行了扩展,将视觉和语言嵌入特性都作为...
we pre-train VL-BERT on the massive-scale Conceptual Captions dataset, together with text-only corpus. Extensive empirical analysis demonstrates that the pre-training procedure can better align the visual-linguistic clues and benefit the downstream tasks, such as visual commonsense reasoning, visu...
大量的实证分析表明,预训练的模型可以更好地对齐视觉-语言线索,有利于 【论文阅读】 VL-BERT: Pre-training of generic visual-linguistic representations 语言和纯文本数据集上对VL-BERT进行预训练,利用Conceptual Captions 数据集作为视觉语言的语料库,它包括约330万张带caption注释的图像,Conceptual...利用BERT联合...
VL-BERT: PRE-TRAINING OF GENERIC VISUALLINGUISTIC REPRESENTATIONS VL-BERT: PRE-TRAINING OF GENERIC VISUALLINGUISTIC REPRESENTATIONS 2022-03-30 20:35:13 Paper:https://openreview.net/forum?id=SygXPaEYvH Code:https://github.com/jackroos/VL-BERT...
VL-BERT: Pre-training of Generic Visual-Linguistic RepresentationsWeijie SuXizhou ZhuYue CaoBin LiLewei LuFuru WeiJifeng DaiInternational Conference on Learning Representations
It contains the codes of the Visual-Linguistic Pre-training (VLP), and fine-tuning via Visual-Linguistic Causal Intervention (VLCI) on IU-Xray/MIMIC-CXR dataset. Requirements All the requirements are listed in the requirements.yaml file. Please use this command to create a new environment and ...
Distributed Training on Single-Machine ./scripts/dist_run_single.sh <num_gpus> <task>/train_end2end.py <path_to_cfg> <dir_to_store_checkpoint> <num_gpus>: number of gpus to use. <task>: pretrain/vcr/vqa/refcoco. <path_to_cfg>: config yaml file under./cfgs/<task>. ...
by adding a masked image modeling. We perform pre-training on LAION-FACE, a dataset containing large amount of face image-text pairs, and evaluate the representation capability on multiple downstream tasks. We show that FaRL achieves better transfer performance compared with pre...
In this paper, we propose a novel approach named Relational Visual-Linguistic Bidirectional Encoder Representations from Transformers (RVL-BERT), which performs relational reasoning with both visual and language commonsense knowledge learned via self-supervised pre-training with multimodal representations. RVL...