2 citations · 4 across the 4 of their papers we have counts for
4 papers
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture
Syed Sha Qutub, Neslihan Kose, Rafael Rosales +6
This paper introduces the Budding Ensemble Architecture (BEA), a novel reduced ensemble architecture for anchor-based object detection models. Object detection models are crucial i…
Exploring Resiliency to Natural Image Corruptions in Deep Learning using Design Diversity
Rafael Rosales, Pablo Munoz, Michael Paulitsch
In this paper, we investigate the relationship between diversity metrics, accuracy, and resiliency to natural image corruptions of Deep Learning (DL) image classifier ensembles. We…
Evaluation of Confidence-based Ensembling in Deep Learning Image Classification
Rafael Rosales, Peter Popov, Michael Paulitsch
Ensembling is a successful technique to improve the performance of machine learning (ML) models. Conf-Ensemble is an adaptation to Boosting to create ensembles based on model confi…
Multi-Objective Design Space Exploration for the Optimization of the HEVC Mode Decision Process
Christian Herglotz, Rafael Rosales, Michael Glass +2
Finding the best possible encoding decisions for compressing a video sequence is a highly complex problem. In this work, we propose a multi-objective Design Space Exploration (DSE)…