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Hi there 👋

About me

Muyun99's GitHub stats

I'm Muyun99.

🔭 I’m currently working on and learning:

  • Label Noise -> Weakly-supervised Learning -> Knowledge Distillation -> Anything about Autonomous Driving.

💻 I am currently a perception algorithm engineer at Horizon Robotics (Shanghai), focused on doing research and implementation of end-to-end perception algorithms

😄 My Blog: https://muyun.work/

👉 My Wiki: https://muyun99.github.io/

🚗 My Zhihu: https://www.zhihu.com/people/du-yun-40-53

💬 My Telegram Channel: https://t.me/MuyunNote (for life) & https://t.me/Tacr0l1mus (for research)

Yun Du's Projects

blogroll icon blogroll

南京航空航天大学 Blog 收集计划

cirkd icon cirkd

[CVPR-2022] Official implementations of CIRKD: Cross-Image Relational Knowledge Distillation for Semantic Segmentation

cs-notes icon cs-notes

:books: Computer Science Learning Notes

deep-learning-papers icon deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

logme icon logme

Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021), https://arxiv.org/abs/2102.11005

mmeval icon mmeval

A unified evaluation library for multiple machine learning libraries

mmselfsup icon mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

os-experiment icon os-experiment

2019年南航计算机学院操作系统课程的实验代码-实验心得-上机考试练习-笔试复习笔记

panoptic-deeplab icon panoptic-deeplab

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

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