Interpretation of Swedish Sign Language Using Convolutional Neural Networks and Transfer Learning
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2661-8907
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Interpretation of Swedish Sign Language Using Convolutional Neural Networks and Transfer Learning ; volume:2 ; number:3 ; day:11 ; month:4 ; year:2021 ; pages:1-15 ; date:5.2021
SN Computer Science ; 2, Heft 3 (11.4.2021), 1-15, 5.2021
- Creator
-
Halvardsson, Gustaf
Peterson, Johanna
Soto-Valero, César
Baudry, Benoit
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s42979-021-00612-w
- URN
-
urn:nbn:de:101:1-2021091323070964643463
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:36 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Halvardsson, Gustaf
- Peterson, Johanna
- Soto-Valero, César
- Baudry, Benoit
- SpringerLink (Online service)
Other Objects (12)
Sign language recognition based on dual-path background erasure convolutional neural network
Game theory interpretation of digital soil mapping convolutional neural networks
Game theory interpretation of digital soil mapping convolutional neural networks
Semantic Interpretation for Convolutional Neural Networks: What Makes a Cat a Cat?
Finding continuers in Swedish Sign Language
Neural encoding with unsupervised spiking convolutional neural network
Deepfake detection using convolutional vision transformers and convolutional neural networks
Phylogenetic convolutional neural networks in metagenomics
Sign language recognition using the fusion of image and hand landmarks through multi-headed convolutional neural network
Active convolutional neural networks sign language (ActiveCNN-SL) framework: a paradigm shift in deaf-mute communication
Interpretation of convolutional neural networks reveals crucial sequence features involving in transcription during fiber development
Towards energy-efficient convolutional neural network inference
Sign language recognition based on dual-path background erasure convolutional neural network
Game theory interpretation of digital soil mapping convolutional neural networks
Game theory interpretation of digital soil mapping convolutional neural networks
Semantic Interpretation for Convolutional Neural Networks: What Makes a Cat a Cat?
Finding continuers in Swedish Sign Language
Neural encoding with unsupervised spiking convolutional neural network
Deepfake detection using convolutional vision transformers and convolutional neural networks
Phylogenetic convolutional neural networks in metagenomics
Sign language recognition using the fusion of image and hand landmarks through multi-headed convolutional neural network
Active convolutional neural networks sign language (ActiveCNN-SL) framework: a paradigm shift in deaf-mute communication
Interpretation of convolutional neural networks reveals crucial sequence features involving in transcription during fiber development
Towards energy-efficient convolutional neural network inference
Sign language recognition based on dual-path background erasure convolutional neural network
Game theory interpretation of digital soil mapping convolutional neural networks
Game theory interpretation of digital soil mapping convolutional neural networks
Semantic Interpretation for Convolutional Neural Networks: What Makes a Cat a Cat?
Finding continuers in Swedish Sign Language
Neural encoding with unsupervised spiking convolutional neural network
Deepfake detection using convolutional vision transformers and convolutional neural networks
Phylogenetic convolutional neural networks in metagenomics
Sign language recognition using the fusion of image and hand landmarks through multi-headed convolutional neural network
Active convolutional neural networks sign language (ActiveCNN-SL) framework: a paradigm shift in deaf-mute communication
Interpretation of convolutional neural networks reveals crucial sequence features involving in transcription during fiber development