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
BERT model training impelmentation using 1024 A100 GPUs for MLPerf Training v1.1

Pre-trained checkpoint and bert config json file Location of checkpoint and bert config json file This MLCommons members Google Drive location contain

SAIT (Samsung Advanced Institute of Technology) 12 Apr 27, 2022
potpourri3d - An invigorating blend of 3D geometry tools in Python.

A Python library of various algorithms and utilities for 3D triangle meshes and point clouds. Managed by Nicholas Sharp, with new tools added lazily as needed. Currently, mainly bindings to C++ tools

Nicholas Sharp 295 Jan 05, 2023
Advantage Actor Critic (A2C): jax + flax implementation

Advantage Actor Critic (A2C): jax + flax implementation Current version supports only environments with continious action spaces and was tested on muj

Andrey 3 Jan 23, 2022
Nicely is a real-time Feedback and Intervention Program Depression is a prevalent issue across all age groups, socioeconomic classes, and cultural identities.

Nicely is a real-time Feedback and Intervention Program Depression is a prevalent issue across all age groups, socioeconomic classes, and cultural identities.

1 Jan 16, 2022
InsCLR: Improving Instance Retrieval with Self-Supervision

InsCLR: Improving Instance Retrieval with Self-Supervision This is an official PyTorch implementation of the InsCLR paper. Download Dataset Dataset Im

Zelu Deng 25 Aug 30, 2022
A lane detection integrated Real-time Instance Segmentation based on YOLACT (You Only Look At CoefficienTs)

Real-time Instance Segmentation and Lane Detection This is a lane detection integrated Real-time Instance Segmentation based on YOLACT (You Only Look

Jin 4 Dec 30, 2022
A free, multiplatform SDK for real-time facial motion capture using blendshapes, and rigid head pose in 3D space from any RGB camera, photo, or video.

mocap4face by Facemoji mocap4face by Facemoji is a free, multiplatform SDK for real-time facial motion capture based on Facial Action Coding System or

Facemoji 591 Dec 27, 2022
SegNet-Basic with Keras

SegNet-Basic: What is Segnet? Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-wise Image Segmentation Segnet = (Encoder + Decoder)

Yad Konrad 81 Jun 30, 2022
Code for "Learning to Segment Rigid Motions from Two Frames".

rigidmask Code for "Learning to Segment Rigid Motions from Two Frames". ** This is a partial release with inference and evaluation code.

Gengshan Yang 157 Nov 21, 2022
Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

567 Dec 26, 2022
Official implementation of Rich Semantics Improve Few-Shot Learning (BMVC, 2021)

Rich Semantics Improve Few-Shot Learning Paper Link Abstract : Human learning benefits from multi-modal inputs that often appear as rich semantics (e.

Mohamed Afham 11 Jul 26, 2022
Joint Unsupervised Learning (JULE) of Deep Representations and Image Clusters.

Joint Unsupervised Learning (JULE) of Deep Representations and Image Clusters. Overview This project is a Torch implementation for our CVPR 2016 paper

Jianwei Yang 278 Dec 25, 2022
Official code of "Mitigating the Mutual Error Amplification for Semi-Supervised Object Detection"

CrossTeaching-SSOD 0. Introduction Official code of "Mitigating the Mutual Error Amplification for Semi-Supervised Object Detection" This repo include

Bruno Ma 9 Nov 29, 2022
Official Repository for "Robust On-Policy Data Collection for Data Efficient Policy Evaluation" (NeurIPS 2021 Workshop on OfflineRL).

Robust On-Policy Data Collection for Data-Efficient Policy Evaluation Source code of Robust On-Policy Data Collection for Data-Efficient Policy Evalua

Autonomous Agents Research Group (University of Edinburgh) 2 Oct 09, 2022
some classic model used to segment the medical images like CT、X-ray and so on

github_project This is a project for medical image segmentation. This project includes common medical image segmentation models such as U-net, FCN, De

2 Mar 30, 2022
Deep Q-Learning Network in pytorch (not actively maintained)

pytoch-dqn This project is pytorch implementation of Human-level control through deep reinforcement learning and I also plan to implement the followin

Hung-Tu Chen 342 Jan 01, 2023
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

Splitter ⠀⠀ A PyTorch implementation of Splitter: Learning Node Representations that Capture Multiple Social Contexts (WWW 2019). Abstract Recent inte

Benedek Rozemberczki 201 Nov 09, 2022
Official implementation of Unfolded Deep Kernel Estimation for Blind Image Super-resolution.

Unfolded Deep Kernel Estimation for Blind Image Super-resolution Hongyi Zheng, Hongwei Yong, Lei Zhang, "Unfolded Deep Kernel Estimation for Blind Ima

Z80 15 Dec 26, 2022
VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning

This is a release of our VIMPAC paper to illustrate the implementations. The pretrained checkpoints and scripts will be soon open-sourced in HuggingFace transformers.

Hao Tan 74 Dec 03, 2022
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding

Vision Longformer This project provides the source code for the vision longformer paper. Multi-Scale Vision Longformer: A New Vision Transformer for H

Microsoft 209 Dec 30, 2022