bckd
Official Implementation of Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
✓Academic publication links
Links to: arxiv.org -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (7.4%) to scientific vocabulary
Repository
Official Implementation of Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection
Basic Info
- Host: GitHub
- Owner: TinyTigerPan
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 14.9 MB
Statistics
- Stars: 49
- Watchers: 2
- Forks: 2
- Open Issues: 4
- Releases: 0
Metadata Files
README.md
Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection
Introduction
This repository is the official implementation of ICCV2023: Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection. * arxiv * ICCV 2023 open access
News and ToDo List
- [x] [2023-09-01] Release checkpoints and logs
- [x] [2023-08-28] Release paper and code
- [x] [2023-07-14] Accepted by ICCV2023 🎉
- [x] [2023-04-07] Publish initial code
Install
This repo is build on mmdetection 2.28.2
Please refer this link to build the environment (mmcv...).
Then execute the following command to install.
git clone https://github.com/TinyTigerPan/BCKD.git
cd BCKD
pip install -v -e .
Train
For single GPU
bash
python tools/train.py configs/bckd/bckd_r50_gflv1_r101_fpn_coco_1x.py
For multi GPU
bash
bash tools/dist_train.sh configs/bckd/bckd_r50_gflv1_r101_fpn_coco_1x.py 8
Eval
For single GPU
bash
python tools/test.py config_file ckpt_file --eval bbox
For multi GPU
bash
bash tools/dist_test.sh configs_file ckpt_file 8
Result
| Teacher | Student | Schedule | mAP | download | |-------------|------------|----------|-------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | | GFocal-R50 | 1x | 40.1 | | | GFocal-R101 | GFocal-R50 | 1x | 43.2 | log | ckpt | | | GFocal-R34 | 1x | 38.9 | | | GFocal-R101 | GFocal-R34 | 1x | 42.0 | log | ckpt | | | GFocal-R18 | 1x | 35.8 | | | GFocal-R101 | GFocal-R18 | 1x | 38.6 | log | ckpt |
Cite
@InProceedings{Yang_2023_ICCV,
author = {Yang, Longrong and Zhou, Xianpan and Li, Xuewei and Qiao, Liang and Li, Zheyang and Yang, Ziwei and Wang, Gaoang and Li, Xi},
title = {Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
month = {October},
year = {2023},
pages = {17175-17184}
}
Owner
- Name: Xianpan Zhou
- Login: TinyTigerPan
- Kind: user
- Location: Hangzhou, China
- Company: Zhejiang University
- Repositories: 1
- Profile: https://github.com/TinyTigerPan
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
GitHub Events
Total
- Watch event: 3
- Issue comment event: 3
Last Year
- Watch event: 3
- Issue comment event: 3