Reduction-B is an image model block used in the Inception-v4 architecture.

Source: Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Latest Papers

PAPER DATE
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans
Paschalis BizopoulosNicholas VretosPetros Daras
2020-09-10
Effects of Approximate Multiplication on Convolutional Neural Networks
Min Soo KimAlberto A. Del BarrioHyunJin KimNader Bagherzadeh
2020-07-20
A Deep Learning based Wearable Healthcare IoT Device for AI-enabled Hearing Assistance Automation
Fraser YoungL ZhangRichard JiangHan LiuConor Wall
2020-05-16
Effective, Fast, and Memory-Efficient Compressed Multi-function Convolutional Neural Networks for More Accurate Medical Image Classification
Luna M. Zhang
2018-11-29
Deep neural network ensemble by data augmentation and bagging for skin lesion classification
Manik GoyalJagath C. Rajapakse
2018-07-15
Improved Inception-Residual Convolutional Neural Network for Object Recognition
Md Zahangir AlomMahmudul HasanChris YakopcicTarek M. TahaVijayan K. Asari
2017-12-28
RECOD Titans at ISIC Challenge 2017
| Afonso MenegolaJulia TavaresMichel FornacialiLin Tzy LiSandra AvilaEduardo Valle
2017-03-14
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
| Christian SzegedySergey IoffeVincent VanhouckeAlex Alemi
2016-02-23

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