Abstract: Deep learning models are highly susceptible to adversarial attacks, where subtle perturbations in the input images lead to misclassifications. Adversarial examples typically distort specific ...

For over two decades, Google has been the search engine that most people use for everyday searches, product research, and staying up to date on the latest news. Because of this market dominance, ...

Exemplar-Free Class-Incremental Learning (EFCIL) aims to sequentially learn from distinct categories without retaining exemplars but easily suffers from catastrophic forgetting of learned knowledge.

[√] Release the preliminary code and scripts for NeST. More scripts and the cleaned code will be released after careful testing. Class incremental semantic segmentation aims to preserve old knowledge ...

Abstract: This paper presents an American sign language (ASL) semantic communications scheme. The scheme consists of a semantic encoder that leverages a convolutional neural network to effectively ...