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. 2209.03355
  4. Cited By
Generative Adversarial Super-Resolution at the Edge with Knowledge
  Distillation

Generative Adversarial Super-Resolution at the Edge with Knowledge Distillation

7 September 2022
Simone Angarano
Francesco Salvetti
Mauro Martini
Marcello Chiaberge
    GAN
ArXivPDFHTML

Papers citing "Generative Adversarial Super-Resolution at the Edge with Knowledge Distillation"

6 / 6 papers shown
Title
ESSR: An 8K@30FPS Super-Resolution Accelerator With Edge Selective Network
ESSR: An 8K@30FPS Super-Resolution Accelerator With Edge Selective Network
Chih-Chia Hsu
Tian-Sheuan Chang
SupR
144
2
0
26 Mar 2025
Topological Persistence Guided Knowledge Distillation for Wearable
  Sensor Data
Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data
Eun Som Jeon
Hongjun Choi
A. Shukla
Yuan Wang
Hyunglae Lee
M. Buman
P. Turaga
22
3
0
07 Jul 2024
Position-Agnostic Autonomous Navigation in Vineyards with Deep
  Reinforcement Learning
Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning
Mauro Martini
Simone Cerrato
Francesco Salvetti
Simone Angarano
Marcello Chiaberge
60
35
0
28 Jun 2022
Neural Knitworks: Patched Neural Implicit Representation Networks
Neural Knitworks: Patched Neural Implicit Representation Networks
Mikolaj Czerkawski
Javier Cardona
Robert C. Atkinson
W. Michie
I. Andonovic
C. Clemente
Christos Tachtatzis
23
11
0
29 Sep 2021
On Deep Learning Techniques to Boost Monocular Depth Estimation for
  Autonomous Navigation
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation
R. Q. Mendes
E. G. Ribeiro
N. D. S. Rosa
V. Grassi
MDE
27
42
0
13 Oct 2020
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
190
5,163
0
16 Sep 2016
1