# Revisiting-Knowledge-Distillation-an-Inheritance-and-Exploration-Framework **Repository Path**: aliyun/Revisiting-Knowledge-Distillation-an-Inheritance-and-Exploration-Framework ## Basic Information - **Project Name**: Revisiting-Knowledge-Distillation-an-Inheritance-and-Exploration-Framework - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-05-08 - **Last Updated**: 2025-05-08 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Revisiting Knowledge Distillation: An Inheritance and Exploration Framework This repository is the official implementation of: [**Revisiting Knowledge Distillation: An Inheritance and Exploration Framework**](https://arxiv.org/abs/2107.00181) Zhen Huang, Xu Shen, Jun Xing, Tongliang Liu, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-Sheng Hua *CVPR 2021* ### Overview The student network is split into two parts. One part (colored in orange) inherits the compact and effective representations encoded by factors from the teacher network via consistency/inheritance loss (similarity), and the other part (colored in blue) is pushed to generate different features via diversity/exploration loss (dis-similarity). The supervised task (classification/detection) loss guides the exploration part to converge to diverse yet effective features. ### Run environment + Python 3.7 + Python bindings for OpenCV + Pytorch 1.1 ### Usage ``` python main.py --config=configs/ie_kd.yaml ``` ### License + Apache License 2.0 ### Citation If you use our code or models in your research, please cite with: ``` @inproceedings{huang2021revisiting, title={Revisiting Knowledge Distillation: An Inheritance and Exploration Framework}, author={Huang, Zhen and Shen, Xu and Xing, Jun and Liu, Tongliang and Tian, Xinmei and Li, Houqiang and Deng, Bing and Huang, Jianqiang and Hua, Xian-Sheng}, booktitle={CVPR}, pages={3579--3588}, year={2021} } ```