[CVPR 2023] DepGraph: Towards Any Structural Pruning

在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

Network Slimming (Pytorch) (ICCV 2017)

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"

Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.

GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning

An implementation of Channel Pruning on face recognition algorithm Sphereface.

ChainerPruner: Channel Pruning framework for Chainer

[NIPS 2016] Learning Structured Sparsity in Deep Neural Networks

A PyTorch Implementation of Feature Boosting and Suppression

Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan and Chu-Song Chen, "Pruning Depthwise Separable Convolutions for MobileNet Compression," International Joint Conference on Neural Networks, IJCNN 2020, July 2020.

Code for paper "Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing"

Official PyTorch implementation of "Lightweight Alpha Matting Network Using Distillation-Based Channel Pruning" (Asian Conference on Computer Vision 2022)

Official repository for the research article "Pruning vs XNOR-Net: A ComprehensiveStudy on Deep Learning for AudioClassification in Microcontrollers"

Single shot object detection in PyTorch

[ICCV 2017] Learning Efficient Convolutional Networks through Network Slimming

This repo shows some code about the pruning strategy in the paper "A Channel-level Pruning Strategy for Convolutional Neural Networks". https://teacher.bupt.edu.cn/zhuchuang/en/index.htm