Bridging Vision and Language Model

Related tags

Deep LearningBriVL
Overview

BriVL

BriVL (Bridging Vision and Language Model) 是首个中文通用图文多模态大规模预训练模型。BriVL模型在图文检索任务上有着优异的效果,超过了同期其他常见的多模态预训练模型(例如UNITER、CLIP)。

BriVL论文:WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training

适用场景

适用场景示例:图像检索文本、文本检索图像、图像标注、图像零样本分类、作为其他下游多模态任务的输入特征等。

技术特色

  1. BriVL使用对比学习算法将图像和文本映射到了同一特征空间,可用于弥补图像特征和文本特征之间存在的隔阂。
  2. 基于视觉-语言弱相关的假设,除了能理解对图像的描述性文本外,也可以捕捉图像和文本之间存在的抽象联系。
  3. 图像编码器和文本编码器可分别独立运行,有利于实际生产环境中的部署。

下载专区

模型 语言 参数量(单位:亿) 文件(file)
BriVL-1.0 中文 10亿 BriVL-1.0-5500w.tar

使用BriVL

搭建环境

# 环境要求
lmdb==0.99
timm==0.4.12
easydict==1.9
pandas==1.2.4
jsonlines==2.0.0
tqdm==4.60.0
torchvision==0.9.1
numpy==1.20.2
torch==1.8.1
transformers==4.5.1
msgpack_numpy==0.4.7.1
msgpack_python==0.5.6
Pillow==8.3.1
PyYAML==5.4.1

配置要求在requirements.txt中,可使用下面的命令:

pip install -r requirements.txt

特征提取与计算检索结果

cd evaluation/
bash test_xyb.sh

数据解释

现已放入3个图文对示例:

./data/imgs  # 放入图像
./data/jsonls # 放入图文对描述

引用BriVL

@article{DBLP:journals/corr/abs-2103-06561,
  author    = {Yuqi Huo and
               Manli Zhang and
               Guangzhen Liu and
               Haoyu Lu and
               Yizhao Gao and
               Guoxing Yang and
               Jingyuan Wen and
               Heng Zhang and
               Baogui Xu and
               Weihao Zheng and
               Zongzheng Xi and
               Yueqian Yang and
               Anwen Hu and
               Jinming Zhao and
               Ruichen Li and
               Yida Zhao and
               Liang Zhang and
               Yuqing Song and
               Xin Hong and
               Wanqing Cui and
               Dan Yang Hou and
               Yingyan Li and
               Junyi Li and
               Peiyu Liu and
               Zheng Gong and
               Chuhao Jin and
               Yuchong Sun and
               Shizhe Chen and
               Zhiwu Lu and
               Zhicheng Dou and
               Qin Jin and
               Yanyan Lan and
               Wayne Xin Zhao and
               Ruihua Song and
               Ji{-}Rong Wen},
  title     = {WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training},
  journal   = {CoRR},
  volume    = {abs/2103.06561},
  year      = {2021},
  url       = {https://arxiv.org/abs/2103.06561},
  archivePrefix = {arXiv},
  eprint    = {2103.06561},
  timestamp = {Tue, 03 Aug 2021 12:35:30 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2103-06561.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
Owner
Wudao is a large-scale pre-training model project initiated by BAAI, aiming to break through the core technology and promote the development of AGI.
Repository for MDPGT

MD-PGT Repository for implementing and reproducing the results for the paper MDPGT: Momentum-based Decentralized Policy Gradient Tracking. Available E

Xian Yeow Lee 2 Dec 30, 2021
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning

Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning Update (September 18th, 2021) A supporting document de

Taimur Hassan 1 Mar 16, 2022
Ankou: Guiding Grey-box Fuzzing towards Combinatorial Difference

Ankou Ankou is a source-based grey-box fuzzer. It intends to use a more rich fitness function by going beyond simple branch coverage and considering t

SoftSec Lab 54 Dec 24, 2022
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation This repo is the official implementation of "MHFormer: Multi-Hypothesis Transforme

Vegetabird 281 Jan 07, 2023
A Jinja extension (compatible with Flask and other frameworks) to compile and/or compress your assets.

A Jinja extension (compatible with Flask and other frameworks) to compile and/or compress your assets.

Jayson Reis 94 Nov 21, 2022
Official codebase for running the small, filtered-data GLIDE model from GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

GLIDE This is the official codebase for running the small, filtered-data GLIDE model from GLIDE: Towards Photorealistic Image Generation and Editing w

OpenAI 2.9k Jan 04, 2023
A simple baseline for 3d human pose estimation in PyTorch.

3d_pose_baseline_pytorch A PyTorch implementation of a simple baseline for 3d human pose estimation. You can check the original Tensorflow implementat

weigq 312 Jan 06, 2023
Manifold Alignment for Semantically Aligned Style Transfer

Manifold Alignment for Semantically Aligned Style Transfer [Paper] Getting Started MAST has been tested on CentOS 7.6 with python = 3.6. It supports

35 Nov 14, 2022
AMTML-KD: Adaptive Multi-teacher Multi-level Knowledge Distillation

AMTML-KD: Adaptive Multi-teacher Multi-level Knowledge Distillation

Frank Liu 26 Oct 13, 2022
Pyramid addon for OpenAPI3 validation of requests and responses.

Validate Pyramid views against an OpenAPI 3.0 document Peace of Mind The reason this package exists is to give you peace of mind when providing a REST

Pylons Project 79 Dec 30, 2022
Code for the Shortformer model, from the paper by Ofir Press, Noah A. Smith and Mike Lewis.

Shortformer This repository contains the code and the final checkpoint of the Shortformer model. This file explains how to run our experiments on the

Ofir Press 138 Apr 15, 2022
A Runtime method overload decorator which should behave like a compiled language

strongtyping-pyoverload A Runtime method overload decorator which should behave like a compiled language there is a override decorator from typing whi

20 Oct 31, 2022
A PyTorch Implementation of Neural IMage Assessment

NIMA: Neural IMage Assessment This is a PyTorch implementation of the paper NIMA: Neural IMage Assessment (accepted at IEEE Transactions on Image Proc

yunxiaos 418 Dec 29, 2022
Discovering Interpretable GAN Controls [NeurIPS 2020]

GANSpace: Discovering Interpretable GAN Controls Figure 1: Sequences of image edits performed using control discovered with our method, applied to thr

Erik Härkönen 1.7k Jan 03, 2023
Pytorch implementation of VAEs for heterogeneous likelihoods.

Heterogeneous VAEs Beware: This repository is under construction 🛠️ Pytorch implementation of different VAE models to model heterogeneous data. Here,

Adrián Javaloy 35 Nov 29, 2022
The official repository for "Score Transformer: Generating Musical Scores from Note-level Representation" (MMAsia '21)

Score Transformer This is the official repository for "Score Transformer": Score Transformer: Generating Musical Scores from Note-level Representation

22 Dec 22, 2022
Implementation of CVPR'2022:Surface Reconstruction from Point Clouds by Learning Predictive Context Priors

Surface Reconstruction from Point Clouds by Learning Predictive Context Priors (CVPR 2022) Personal Web Pages | Paper | Project Page This repository c

136 Dec 12, 2022
Improving Machine Translation Systems via Isotopic Replacement

CAT (Improving Machine Translation Systems via Isotopic Replacement) Machine translation plays an essential role in people’s daily international commu

Zeyu Sun 10 Nov 30, 2022
PyTorch implementation of neural style randomization for data augmentation

README Augment training images for deep neural networks by randomizing their visual style, as described in our paper: https://arxiv.org/abs/1809.05375

84 Nov 23, 2022