Ming Qi (ming71)

ming71

User data from Github https://github.com/ming71

Company:Beijing Institute of Technology

Location:Beijing

Home Page:https://ming71.github.io/

GitHub:@ming71

Ming Qi's repositories

mmdetection-annotated

mmdetection源码注释

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toolbox

various cv tools, such as label tools, data augmentation, label conversion, etc.

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DAL

[AAAI 2021] Official implementation of "Dynamic Anchor Learning for Arbitrary-Oriented Object Detection".

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rotate-yolov3

Arbitrary oriented object detection implemented with yolov3 (attached with some tricks).

yolov3-polygon

Arbitrary-oriented object detection based on yolov3.

UCAS-AOD-benchmark

A benchmark of UCAS-AOD dataset.

HRSC2016_SOTA

Fair comparison of different algorithms on the HRSC2016 dataset.

Rotated-RetinaNet

Rotation RetinaNet for arbitrary-oriented object detection.

CFC-Net

[TGRS 2021] Official implementation of "CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images".

RIDet

[GRSL 2021] Official code for paper "Optimization for Oriented Object Detection via Representation Invariance Loss".

OBBDet_Swin

The sixth place winning solution (6/220) in 2021 Gaofen Challenge.

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yolov3-pytorch

annotation and specification for yolov3

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CUDA

useful cuda code .

TIOE

[ISPRS&RS 2023]Official implementation of "Task Interleaving and Orientation Estimation for High-Precision Oriented Object Detection in Aerial Images".

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GCIoU-loss

[CVPR 2023] Official implementation of "Deep Dive into Gradients: Better Optimization for 3D Object Detection with Gradient-Corrected IoU Supervision".

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Cascade-Rotated-RetinaNet

cascade rotated RetinaNet for arbitrary-oriented object detection

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SLA

[RS 2021] Official implementation of "Sparse Label Assignment for Oriented Object Detection inAerial Images"

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GCL

GCL implementation

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DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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PGM

notes

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giantpandacv

pr for www.giantpandacv.com

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