[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

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

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.

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