Today we can see how computer vision CV systems are revolutionizing whole industries and business functions with successful applications in healthcare, security, transportation, retail, banking, agriculture, and more. In , we saw lots of novel architectures and approaches that further improved the perceptive and generative capacities of visual systems. The papers that we selected cover optimization of convolutional networks, unsupervised learning in computer vision, image generation and evaluation of machine-generated images, visual-language navigation, captioning changes between two images with natural language, and more. Subscribe to our AI Research mailing list at the bottom of this article to be alerted when we release new summaries.
50 research papers and resources in Computer Vision - Free Download
Computer vision is notoriously tricky and challenging. It aims to build autonomous systems that can perform or even surpass the tasks associated with the human visual system, but what makes it extremely difficult to build such a system is because the human visual system is too good and sophisticated for many tasks in comparison with a computer vision system. Humans can recognize faces under all variations in terms of illumination, viewpoint, or expression. In most cases, we have no problem in identifying a friend in an old photograph taken years ago. There seems to be no limit for us on how many faces we can store in our brains for future recognition. There seems no hope in building an autonomous system with such stellar performance.
Beside the interdisciplinary research databases Web of Science and Scopus there are also academic databases specifically dedicated to computer science. We have compiled a list of the top 5 research databases with special focus on computer science to help you find research papers, scholarly articles and conference papers fast. ACM Digital Library is the clear number one when it comes to academic databases for computer science.
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