u-trsor
Uncertainty-aware Dyamic Context Evidential Fusion for Trustworthy Remote Sensing Object Recognition
Science Score: 44.0%
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
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (4.5%) to scientific vocabulary
Repository
Uncertainty-aware Dyamic Context Evidential Fusion for Trustworthy Remote Sensing Object Recognition
Basic Info
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Installation
MMRotate depends on PyTorch, MMCV and MMDetection. Below are quick steps for installation. Please refer to Install Guide for more detailed instruction.
shell
conda create --name openmmlab python=3.8 -y
conda activate openmmlab
conda install pytorch==1.8.0 torchvision==0.9.0 cudatoolkit=10.2 -c pytorch
pip install -U openmim
mim install mmcv-full
mim install mmdet
git clone https://github.com/Songyeyaosong/U-TRSOR.git
cd U-TRSOR
pip install -v -e .
Train
shell
python tools/train.py configs/oriented_rcnn_teef_v2_edl_kl_xcor_corall_le0.15_lt0.25_r50_fpn_fp16_1x_dota_ms_rr_le90.py
Owner
- Login: Songyeyaosong
- Kind: user
- Repositories: 1
- Profile: https://github.com/Songyeyaosong
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - name: "MMRotate Contributors" title: "OpenMMLab rotated object detection toolbox and benchmark" date-released: 2022-02-18 url: "https://github.com/open-mmlab/mmrotate" license: Apache-2.0
GitHub Events
Total
- Push event: 3
Last Year
- Push event: 3