ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.13693
  4. Cited By
The MAMe Dataset: On the relevance of High Resolution and Variable Shape
  image properties
v1v2v3 (latest)

The MAMe Dataset: On the relevance of High Resolution and Variable Shape image properties

27 July 2020
Ferran Parés
Anna Arias-Duart
Dario Garcia-Gasulla
Gema Campo-Francés
Nina Viladrich
Eduard Ayguadé
Jesús Labarta
ArXiv (abs)PDFHTML

Papers citing "The MAMe Dataset: On the relevance of High Resolution and Variable Shape image properties"

3 / 3 papers shown
HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?
HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?
Yusen Zhang
Wenliang Zheng
Aashrith Madasu
Peng Shi
Ryo Kamoi
...
Ranran Haoran Zhang
Avitej Iyer
Renze Lou
Wenpeng Yin
Rui Zhang
574
0
0
25 Apr 2025
When & How to Transfer with Transfer Learning
When & How to Transfer with Transfer Learning
Adrián Tormos
Dario Garcia-Gasulla
Victor Gimenez-Abalos
Sergio Alvarez-Napagao
VLM
148
2
0
08 Nov 2022
Focus! Rating XAI Methods and Finding Biases
Focus! Rating XAI Methods and Finding Biases
Anna Arias-Duart
Ferran Parés
Dario Garcia-Gasulla
Victor Gimenez-Abalos
290
35
0
28 Sep 2021
1
Page 1 of 1