ke-rcnn

KE-RCNN: unifying knowledge based reasoning into part-level attribute parsing (TCYB 2022)

https://github.com/josonchan1998/ke-rcnn

Science Score: 54.0%

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Repository

KE-RCNN: unifying knowledge based reasoning into part-level attribute parsing (TCYB 2022)

Basic Info

Host: GitHub
Owner: JosonChan1998
License: apache-2.0
Language: Python
Default Branch: master
Homepage:
Size: 14.9 MB

Statistics

Stars: 7
Watchers: 1
Forks: 0
Open Issues: 1
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Created over 3 years ago · Last pushed over 3 years ago

Metadata Files

Readme Contributing License Code of conduct Citation

KE-RCNN

Official implementation of KE-RCNN for part-level attribute parsing. It based on mmdetection.

Installation

pytorch 1.10.0
python 3.7.0
mmdet 2.25.1
fashionpeida-API
einops

Dataset

You need to download the datasets and annotations follwing this repo's formate

Make sure to put the files as the following structure:

├─data │ ├─fashionpedia │ │ ├─train │ │ ├─test │ │ │─instances_attribute_train2020.json │ │ │─instances_attribute_val2020.json | | |─train_norm_attr_knowledge_matrix.npy | ├─work_dirs | ├─ke_rcnn_r50_fpn_fashion_1x | | ├─epoch32.pth

Results and Models

FashionPedia

| Backbone | LR | APiou+f1 | APmask_iou+f1 | DOWNLOAD | |--------------|:----:|:---------:|:--------------:|:--------:| | R-50 | 1x | 39.6 | 36.4 |model| | R-101 | 1x | 39.9 | 36.6 |model| | HRNet-w18 | 1x | 38.0 | 35.3 |model| | Swin-tiny | 1x | 43.7 | 40.5 |model|

This is a reimplementation. Thus, the numbers are slightly different from our original paper. ## Evaluation ``` # inference CUDAVISIBLEDEVICES=0,1,2,3,4,5,6,7 ./tools/disttest.sh configs/kercnn/kercnnr50fpnfashion1x.py workdirs/kercnnr50fpnfashion1x/epoch32.pth 8 --format-only --eval-options "jsonfileprefix=workdirs/kercnnr50fpnfashion1x/kercnnr50fpnfashion1xval_result"

eval, noted that should change the json path produce by previous step.

python eval/fashion_eval.py ```

Training

```

training

CUDAVISIBLEDEVICES=0,1,2,3,4,5,6,7 ./tools/disttrain.sh configs/kercnn/kercnnr50fpnfashion_1x.py 8 ```

Citation

@article{wang2022ke, title={KE-RCNN: Unifying Knowledge-Based Reasoning Into Part-Level Attribute Parsing}, author={Wang, Xuanhan and Song, Jingkuan and Chen, Xiaojia and Cheng, Lechao and Gao, Lianli and Shen, Heng Tao}, journal={IEEE Transactions on Cybernetics}, year={2022}, publisher={IEEE} }

Owner

Name: JosonChan
Login: JosonChan1998
Kind: user

Repositories: 2
Profile: https://github.com/JosonChan1998

SZU to UESTC

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - name: "MMDetection Contributors"
title: "OpenMMLab Detection Toolbox and Benchmark"
date-released: 2018-08-22
url: "https://github.com/open-mmlab/mmdetection"
license: Apache-2.0

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