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01/29/2023
Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing
While it is shown in the literature that simultaneously accurate and rob...
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03/07/2022
GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction
Attaching attributes (such as color, shape, state, action) to object cat...
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11/16/2021
CAR – Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles
Self-driving vehicles are the future of transportation. With current adv...
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11/07/2021
Natural Adversarial Objects
Although state-of-the-art object detection methods have shown compelling...
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07/31/2021
On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models
High-quality labeled datasets play a crucial role in fueling the develop...
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04/20/2021
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset
How does the accuracy of deep neural network models trained to classify ...
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01/13/2020
Breaking hypothesis testing for failure rates
We describe the utility of point processes and failure rates and the mos...
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10/27/2019
Annual Interruption Rate as a KPI, its measurement and comparison
This article is divided into two chapters. The first chapter describes t...
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09/24/2018