Работы, цитирующие эту работу

Работ: 5

Работа: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

1. Image Approach to Speech Recognition on CNN

   Muhammadjon Musaev, Ilyos Khujayorov, Mannon Ochilov

   СтатьяSpeech and Audio Processing2019Цитирований: 16

   ABIABI:AkademIndex/openalex/2026.other.061184

2. On the Effectiveness of Image Rotation for Open Set Domain Adaptation

   Silvia Bucci, Mohammad Reza Loghmani, Tatiana Tommasi

   ПрепринтDomain Adaptation and Few-Shot LearningLecture notes in computer science2020Цитирований: 0

   ABIABI:AkademIndex/openalex/2020.preprint.000001

3. Prototype-based Incremental Few-Shot Semantic Segmentation

   Fabio Cermelli, Massimiliano Mancini, Yongqin Xian +2

   ПрепринтDomain Adaptation and Few-Shot LearningarXiv (Cornell University)2020Цитирований: 0

   ABIABI:AkademIndex/openalex/2020.preprint.000022

4. Efficient-CapsNet: capsule network with self-attention routing

   Vittorio Mazzia, Francesco Salvetti, Marcello Chiaberge

   ПрепринтAdvanced Neural Network ApplicationsScientific Reports2021Цитирований: 0

   ABIABI:AkademIndex/openalex/2021.preprint.000002

5. Speckle2Void: Deep Self-Supervised SAR Despeckling With Blind-Spot Convolutional Neural Networks

   Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro +1

   ПрепринтImage and Signal Denoising MethodsIEEE Transactions on Geoscience and Remote Sensing2021Цитирований: 0

   ABIABI:AkademIndex/openalex/2021.preprint.000011