1 - 6 of 6 articles
Crowd counting is an attracting computer vision problem. Solutions to crowd counting hold high adaptability to other counting problems such as traffic counting and cell counting. Numerous methods have been proposed for the problem. Deep learning-based methods play a significant role in recent...
Video understanding requires abundant semantic information. Substantial progress has been made on deep learning models in the image, text, and audio domains, and notable efforts have been recently dedicated to the design of deep networks in the video domain. We discuss the state-of-the-art...
The recent advancements in the Internet technology and its associated services, led the users to post a large amount of multimodal data into social media Web sites, online shopping portals, video repositories, etc. The availability of the huge amount of multimodal content, multimodal sentiment...
Recent works in deep-learning research highlighted remarkable relational reasoning capabilities of some carefully designed architectures. In this work, we employ a relationship-aware deep learning model to extract compact visual features used relational image descriptors. In particular, we are...
While deep neural network-based models have demonstrated compelling performance on various tasks in computer vision and other fields, they have been found to be vulnerable to adversarial attacks. Particularly, deep convolutional neural network (CNN)-based models can be easily fooled by adding a...
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Sign Up Log In
To subscribe to email alerts, please log in first, or sign up for a DeepDyve account if you don’t already have one.
To get new article updates from a journal on your personalized homepage, please log in first, or sign up for a DeepDyve account if you don’t already have one.