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. 2407.19704
  4. Cited By
UNQA: Unified No-Reference Quality Assessment for Audio, Image, Video,
  and Audio-Visual Content

UNQA: Unified No-Reference Quality Assessment for Audio, Image, Video, and Audio-Visual Content

29 July 2024
Y. Cao
Xiongkuo Min
Yixuan Gao
Wei Sun
Weisi Lin
Guangtao Zhai
ArXivPDFHTML

Papers citing "UNQA: Unified No-Reference Quality Assessment for Audio, Image, Video, and Audio-Visual Content"

3 / 3 papers shown
Title
FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment
  Sampling
FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling
Haoning Wu
Chaofeng Chen
Jingwen Hou
Liang Liao
Annan Wang
Wenxiu Sun
Qiong Yan
Weisi Lin
68
168
0
06 Jul 2022
Omnivore: A Single Model for Many Visual Modalities
Omnivore: A Single Model for Many Visual Modalities
Rohit Girdhar
Mannat Singh
Nikhil Ravi
L. V. D. van der Maaten
Armand Joulin
Ishan Misra
209
222
0
20 Jan 2022
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition
A. Srinivas
Tsung-Yi Lin
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
SLR
267
955
0
27 Jan 2021
1