批量归一化/Batch Normalization 标签

2022

06-12

01-29

EfficientNetV2: Smaller Models and Faster Training

01-27

Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets

2021

08-21

A Comprehensive Overhaul of Feature Distillation

07-24

Lossless CNN Channel Pruning via Decoupling Remembering and Forgetting

06-13

Learning Efficient Convolutional Networks through Network Slimming

02-01

01-26

Selective Kernel Networks

2020

06-15

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

06-03

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications