Search Results for author: Esla Timothy Anzaku

Found 4 papers, 2 papers with code

Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement

no code implementations31 Jan 2024 Esla Timothy Anzaku, Hyesoo Hong, Jin-Woo Park, Wonjun Yang, KangMin Kim, JongBum Won, Deshika Vinoshani Kumari Herath, Arnout Van Messem, Wesley De Neve

In this paper, we introduce a lightweight, user-friendly, and scalable framework that synergizes human and machine intelligence for efficient dataset validation and quality enhancement.

Multi-class Classification

Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training

1 code implementation23 May 2023 Utku Ozbulak, Hyun Jung Lee, Beril Boga, Esla Timothy Anzaku, Homin Park, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver

In this survey, we review a plethora of research efforts conducted on image-oriented SSL, providing a historic view and paying attention to best practices as well as useful software packages.

Contrastive Learning Self-Supervised Learning

A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets

no code implementations5 Sep 2022 Esla Timothy Anzaku, Haohan Wang, Arnout Van Messem, Wesley De Neve

Deep Neural Network (DNN) models are increasingly evaluated using new replication test datasets, which have been carefully created to be similar to older and popular benchmark datasets.

Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks

1 code implementation14 Jun 2021 Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem

Although the adoption rate of deep neural networks (DNNs) has tremendously increased in recent years, a solution for their vulnerability against adversarial examples has not yet been found.


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