Skip to content
/ Multimodal_Meta_Learning_with_Siamese_Network Public

Multi-modal classifications of digits with image and audio modality. One shot learning with Siamese network is used to predict if the given input image-audio pair belongs to same class or not.

14 stars 5 forks Branches Tags Activity
Star
Notifications

Juhi-Purswani/Multimodal_Meta_Learning_with_Siamese_Network

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

19 Commits

data_visuals

data_visuals

 
 

README.md

README.md

 
 

audio_data.py

audio_data.py

 
 

audio_preprocess.py

audio_preprocess.py

 
 

feature_extractor.py

feature_extractor.py

 
 

features.py

features.py

 
 

fusion.py

fusion.py

 
 

image_data.py

image_data.py

 
 

model.py

model.py

 
 

requirements.txt

requirements.txt

 
 

train.py

train.py

 
 

Repository files navigation

About

Multi-modal classifications of digits with image and audio modality. One shot learning with Siamese network is used to predict if the given input image-audio pair belongs to same class or not.

Topics

one-shot-learning meta-learning siamese-network multimodal-classification multimodal-meta-learning audio-image-classification

Resources

Readme
Activity

Stars

14 stars

Watchers

4 watching

Forks

5 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages