37 citations · 49 across the 8 of their papers we have counts for
8 papers
Can Large Language Models Detect Methodological Flaws? Evidence from Gesture Recognition for UAV-Based Rescue Operation Based on Deep Learning
Domonkos Varga
Reliable evaluation is essential in machine learning research, yet methodological flaws-particularly data leakage-continue to undermine the validity of reported results. In this wo…
On the Evaluation Protocol of Gesture Recognition for UAV-based Rescue Operation based on Deep Learning: A Subject-Independence Perspective
Domonkos Varga
This paper presents a methodological analysis of the gesture-recognition approach proposed by Liu and Szirányi, with a particular focus on the validity of their evaluation protocol…
Multi-pooled Inception features for no-reference image quality assessment
Domonkos Varga
Image quality assessment (IQA) is an important element of a broad spectrum of applications ranging from automatic video streaming to display technology. Furthermore, the measuremen…
Comprehensive evaluation of no-reference image quality assessment algorithms on KADID-10k database
Domonkos Varga
The main goal of objective image quality assessment is to devise computational, mathematical models which are able to predict perceptual image quality consistently with subjective…
Comprehensive evaluation of no-reference image quality assessment algorithms on authentic distortions
Domonkos Varga
Objective image quality assessment deals with the prediction of digital images' perceptual quality. No-reference image quality assessment predicts the quality of a given input imag…
A combined full-reference image quality assessment approach based on convolutional activation maps
Domonkos Varga
The goal of full-reference image quality assessment (FR-IQA) is to predict the quality of an image as perceived by human observers with using its pristine, reference counterpart. I…