Topic: network-slimming Goto Github
Some thing interesting about network-slimming
Some thing interesting about network-slimming
network-slimming,micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
User: 666dzy666
network-slimming,A reproduction of Learning Efficient Convolutional Networks through Network Slimming
User: estherbear
network-slimming,YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quantization (MQBench) and Deployment (TensorRT, ncnn) Compression Tool Box.
User: gumpest
network-slimming,Official code for "Run Time Adaptive Network Slimming for Mobile Environments", ISCAS 2019.
User: hong-ming
Home Page: https://ieeexplore.ieee.org/document/8701884
network-slimming,A package to make do Network Slimming a little easier
User: sanster
network-slimming, [ICCV 2017] Learning Efficient Convolutional Networks through Network Slimming
Organization: zjcv
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