Moer Grounded Image Captioning by Distilling Image-Text Matching Model

Related tags

Deep LearningGrounded-Image-Captioning
Overview

Moer Grounded Image Captioning by Distilling Image-Text Matching Model

Requirements

  • Python 3.7
  • Pytorch 1.2

Prepare data

  1. Please use git clone --recurse-submodules to clone this repository and remember to follow initialization steps in coco-caption/README.md. Then download and place the Flickr30k reference file under coco-caption/annotations. Also, download Stanford CoreNLP 3.9.1 for grounding evaluation and place the uncompressed folder under the tools/ directory.
  2. Download the preprocessd dataset from this link and extract it to data/.
  3. For Flickr30k-Entities, please download bottom-up visual feature extracted by Anderson's extractor (Zhou's extractor) from this link ( link) and place the uncompressed folders under data/flickrbu/. For MSCOCO, please follow this instruction to prepare the bottom-up features and place them under data/mscoco/.
  4. Download the pretrained models from here and extract them to log/.
  5. Download the pretrained SCAN models from this link and extract them to misc/SCAN/runs.

Evaluation

To reproduce the results reported in the paper, just simply run

bash eval_flickr.sh

fro Flickr30k-Entities and

bash eval_coco.sh

for MSCOCO.

Training

  1. In the first training stage, run like
python train.py --id CE-scan-sup-0.1kl --caption_model topdown --input_json data/flickrtalk.json --input_fc_dir data/flickrbu/flickrbu_fc --input_att_dir data/flickrbu/flickrbu_att  --input_box_dir data/flickrbu/flickrbu_box  --input_label_h5 data/flickrtalk_label.h5 --batch_size 29 --learning_rate 5e-4 --learning_rate_decay_start 0 --scheduled_sampling_start 0 --checkpoint_path log/CE-scan-sup-0.1kl --save_checkpoint_every 1000 --val_images_use -1 --max_epochs 30  --att_supervise  True   --att_supervise_weight 0.1
  1. In the second training stage, run like
python train.py --id sc-ground-CE-scan-sup-0.1kl --caption_model topdown --input_json data/flickrtalk.json --input_fc_dir data/flickrbu/flickrbu_fc --input_att_dir data/flickrbu/flickrbu_att  --input_box_dir data/flickrbu/flickrbu_box  --input_label_h5 data/flickrtalk_label.h5 --batch_size 29 --learning_rate 5e-5 --start_from log/CE-scan-sup-0.1kl --checkpoint_path log/sc-ground-CE-scan-sup-0.1kl --save_checkpoint_every 1000 --language_eval 1 --val_images_use -1 --self_critical_after 30  --max_epochs  110      --cider_reward_weight  1
--ground_reward_weight   1

Citation

@inproceedings{zhou2020grounded,
  title={More Grounded Image Captioning by Distilling Image-Text Matching Model},
  author={Zhou, Yuanen and Wang, Meng and Liu, Daqing and  Hu, Zhenzhen and Zhang, Hanwang},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  year={2020}
}

Acknowledgements

This repository is built upon self-critical.pytorch, SCAN and grounded-video-description. Thanks for their released code.

Owner
YE Zhou
YE Zhou
GitHub Repository
Official Implementation of Domain-Aware Universal Style Transfer

Domain Aware Universal Style Transfer Official Pytorch Implementation of 'Domain Aware Universal Style Transfer' (ICCV 2021) Domain Aware Universal St

KibeomHong 80 Dec 30, 2022
From a body shape, infer the anatomic skeleton.

OSSO: Obtaining Skeletal Shape from Outside (CVPR 2022) This repository contains the official implementation of the skeleton inference from: OSSO: Obt

Marilyn Keller 166 Dec 28, 2022
Fast, general, and tested differentiable structured prediction in PyTorch

Fast, general, and tested differentiable structured prediction in PyTorch

HNLP 1.1k Dec 16, 2022
It helps user to learn Pick-up lines and share if he has a better one

Pick-up-Lines-Generator(Open Source) It helps user to learn Pick-up lines Share and Add one or many to the DataBase Unique SQLite DataBase AI Undercon

knock_nott 0 May 04, 2022
A repository for the updated version of CoinRun used to collect MUGEN, a multimodal video-audio-text dataset.

A repository for the updated version of CoinRun used to collect MUGEN, a multimodal video-audio-text dataset. This repo contains scripts to train RL agents to navigate the closed world and collect vi

MUGEN 11 Oct 22, 2022
Code repository for "Free View Synthesis", ECCV 2020.

Free View Synthesis Code repository for "Free View Synthesis", ECCV 2020. Setup Install the following Python packages in your Python environment - num

Intelligent Systems Lab Org 253 Dec 07, 2022
Implementation of GGB color space

GGB Color Space This package is implementation of GGB color space from Development of a Robust Algorithm for Detection of Nuclei and Classification of

Resha Dwika Hefni Al-Fahsi 2 Oct 06, 2021
Depth image based mouse cursor visual haptic

Depth image based mouse cursor visual haptic How to run it. Install pyqt5. Install python modules pip install Pillow pip install numpy For illustrati

Xiong Jie 17 Dec 20, 2022
Parametric Contrastive Learning (ICCV2021)

Parametric-Contrastive-Learning This repository contains the implementation code for ICCV2021 paper: Parametric Contrastive Learning (https://arxiv.or

DV Lab 156 Dec 21, 2022
Extracts data from the database for a graph-node and stores it in parquet files

subgraph-extractor Extracts data from the database for a graph-node and stores it in parquet files Installation For developing, it's recommended to us

Cardstack 0 Jan 10, 2022
Code for the paper "Location-aware Single Image Reflection Removal"

Location-aware Single Image Reflection Removal The shown images are provided by the datasets from IBCLN, ERRNet, SIR2 and the Internet images. The cod

72 Dec 08, 2022
An intuitive library to extract features from time series

Time Series Feature Extraction Library Intuitive time series feature extraction This repository hosts the TSFEL - Time Series Feature Extraction Libra

Associação Fraunhofer Portugal Research 589 Jan 04, 2023
a reimplementation of Optical Flow Estimation using a Spatial Pyramid Network in PyTorch

pytorch-spynet This is a personal reimplementation of SPyNet [1] using PyTorch. Should you be making use of this work, please cite the paper according

Simon Niklaus 269 Jan 02, 2023
Facestar dataset. High quality audio-visual recordings of human conversational speech.

Facestar Dataset Description Existing audio-visual datasets for human speech are either captured in a clean, controlled environment but contain only a

Meta Research 87 Dec 21, 2022
UniFormer - official implementation of UniFormer

UniFormer This repo is the official implementation of "Uniformer: Unified Transf

SenseTime X-Lab 573 Jan 04, 2023
Multitask Learning Strengthens Adversarial Robustness

Multitask Learning Strengthens Adversarial Robustness

Columbia University 15 Jun 10, 2022
Organseg dags - The repository contains the codebase for multi-organ segmentation with directed acyclic graphs (DAGs) in CT.

Organseg dags - The repository contains the codebase for multi-organ segmentation with directed acyclic graphs (DAGs) in CT.

yzf 1 Jun 12, 2022
Meta Representation Transformation for Low-resource Cross-lingual Learning

MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning This repo hosts the code for MetaXL, published at NAACL 2021. [Meta

Microsoft 36 Aug 17, 2022
Company clustering with K-means/GMM and visualization with PCA, t-SNE, using SSAN relation extraction

RE results graph visualization and company clustering Installation pip install -r requirements.txt python -m nltk.downloader stopwords python3.7 main.

Jieun Han 1 Oct 06, 2022
Self Governing Neural Networks (SGNN): the Projection Layer

Self Governing Neural Networks (SGNN): the Projection Layer A SGNN's word projections preprocessing pipeline in scikit-learn In this notebook, we'll u

Guillaume Chevalier 22 Nov 06, 2022