An re-implementation of resnet18 network slimming
-
Updated
May 17, 2018 - Python
An re-implementation of resnet18 network slimming
Channel pruning on YOLOv3-TINY
Single shot object detection in PyTorch
ChainerPruner: Channel Pruning framework for Chainer
Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.
An implementation of Channel Pruning on face recognition algorithm Sphereface.
A PyTorch Implementation of Feature Boosting and Suppression
Network Slimming (Pytorch) (ICCV 2017)
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 repository for the research article "Pruning vs XNOR-Net: A ComprehensiveStudy on Deep Learning for AudioClassification in Microcontrollers"
[ICCV 2017] Learning Efficient Convolutional Networks through Network Slimming
[NIPS 2016] Learning Structured Sparsity in Deep Neural Networks
在 oxford hand 数据集上对 YOLOv3 做模型剪枝(network slimming)
Official PyTorch implementation of "Lightweight Alpha Matting Network Using Distillation-Based Channel Pruning" (Asian Conference on Computer Vision 2022)
GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
Code for paper "Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing"
对人像抠图模型MODNet进行滤波器级别的剪枝,结合自适应与固定比例策略。
deep learning model compression with pruning
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Add a description, image, and links to the channel-pruning topic page so that developers can more easily learn about it.
To associate your repository with the channel-pruning topic, visit your repo's landing page and select "manage topics."