Understanding Why ViT Trains Badly on Small Datasets: An Intuitive Perspective

7 February 2023

Papers citing "Understanding Why ViT Trains Badly on Small Datasets: An Intuitive Perspective"

4 / 4 papers shown

Title
Balancing Accuracy, Calibration, and Efficiency in Active Learning with Vision Transformers Under Label Noise Moseli Motsóehli Hope Mogale Kyungim Baek 38 0 0 07 May 2025
Data-driven tool wear prediction in milling, based on a process-integrated single-sensor approach Eric Hirsch Christian Friedrich 84 0 0 13 Mar 2025
FRoundation: Are Foundation Models Ready for Face Recognition? Tahar Chettaoui Naser Damer Fadi Boutros CVBM 39 4 0 31 Oct 2024
Hybrid BYOL-ViT: Efficient approach to deal with small datasets Safwen Naimi Rien van Leeuwen W. Souidène S. B. Saoud SSL ViT 25 2 0 08 Nov 2021