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Found 4 papers, 2 papers with code
Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement
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.
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training
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.
A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets
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
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.
