ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.07026
  4. Cited By
Extracting associations and meanings of objects depicted in artworks
  through bi-modal deep networks

Extracting associations and meanings of objects depicted in artworks through bi-modal deep networks

14 March 2022
Gregory Kell
Ryan-Rhys Griffiths
Anthony Bourached
D. Stork
ArXivPDFHTML

Papers citing "Extracting associations and meanings of objects depicted in artworks through bi-modal deep networks"

2 / 2 papers shown
Title
Hierarchical Graph-Convolutional Variational AutoEncoding for Generative
  Modelling of Human Motion
Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion
Anthony Bourached
Robert J. Gray
Xiaodong Guan
Ryan-Rhys Griffiths
A. Jha
P. Nachev
3DH
DRL
14
1
0
24 Nov 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
448
15,652
0
02 Nov 2015
1