u-trsor

Uncertainty-aware Dyamic Context Evidential Fusion for Trustworthy Remote Sensing Object Recognition

https://github.com/songyeyaosong/u-trsor

Science Score: 44.0%

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  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
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  • Scientific vocabulary similarity
    Low similarity (4.5%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Uncertainty-aware Dyamic Context Evidential Fusion for Trustworthy Remote Sensing Object Recognition

Basic Info
  • Host: GitHub
  • Owner: Songyeyaosong
  • License: apache-2.0
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 9.82 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

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

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

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