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. 2208.04693
  4. Cited By
How Well Do Vision Transformers (VTs) Transfer To The Non-Natural Image
  Domain? An Empirical Study Involving Art Classification

How Well Do Vision Transformers (VTs) Transfer To The Non-Natural Image Domain? An Empirical Study Involving Art Classification

9 August 2022
Vincent Tonkes
M. Sabatelli
    ViT
ArXivPDFHTML

Papers citing "How Well Do Vision Transformers (VTs) Transfer To The Non-Natural Image Domain? An Empirical Study Involving Art Classification"

4 / 4 papers shown
Title
NT-VOT211: A Large-Scale Benchmark for Night-time Visual Object Tracking
NT-VOT211: A Large-Scale Benchmark for Night-time Visual Object Tracking
Yu Liu
Arif Mahmood
Muhammad Haris Khan
16
1
0
27 Oct 2024
ARTxAI: Explainable Artificial Intelligence Curates Deep Representation
  Learning for Artistic Images using Fuzzy Techniques
ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images using Fuzzy Techniques
Javier Fumanal-Idocin
Javier Andreu-Perez
O. Cordón
H. Hagras
H. Bustince
17
7
0
29 Aug 2023
Explain Me the Painting: Multi-Topic Knowledgeable Art Description
  Generation
Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation
Zechen Bai
Yuta Nakashima
Noa Garcia
51
42
0
13 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
1