Image-Captioning Model Compression
Image captioning is a very important task, which is on the edge between natural language processing (NLP) and computer vision (CV). The current quality of the captioning models allows them to be used for practical tasks, but they require both large computational power and considerable storage space....
Main Authors: | Viktar Atliha, Dmitrij Šešok |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-02-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/3/1638 |
Similar Items
-
Text Augmentation Using BERT for Image Captioning
by: Viktar Atliha, et al.
Published: (2020-08-01) -
A Systematic Literature Review on Image Captioning
by: Raimonda Staniūtė, et al.
Published: (2019-05-01) -
Deep Learning Models Compression for Agricultural Plants
by: Arnauld Nzegha Fountsop, et al.
Published: (2020-09-01) -
VAA: Visual Aligning Attention Model for Remote Sensing Image Captioning
by: Zhengyuan Zhang, et al.
Published: (2019-01-01) -
#PraCegoVer: A Large Dataset for Image Captioning in Portuguese
by: Gabriel Oliveira dos Santos, et al.
Published: (2022-01-01)