Results 1 to 10 of about 8,926,719 (102)
YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors [PDF]
Real-time object detection is one of the most important research topics in computer vision. As new approaches regarding architecture optimization and training optimization are continually being developed, we have found two research topics that have ...
Chien-Yao Wang+2 more
semanticscholar +1 more source
Art and the science of generative AI [PDF]
Understanding shifts in creative work will help guide AI’s impact on the media ecosystem The capabilities of a new class of tools, colloquially known as generative artificial intelligence (AI), is a topic of much debate.
Ziv Epstein+13 more
semanticscholar +1 more source
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
Computer vision applications have come to rely increasingly on superpixels in recent years, but it is not always clear what constitutes a good superpixel algorithm. In an effort to understand the benefits and drawbacks of existing methods, we empirically
R. Achanta+5 more
semanticscholar +1 more source
Remote Sensing Image Scene Classification: Benchmark and State of the Art [PDF]
Remote sensing image scene classification plays an important role in a wide range of applications and hence has been receiving remarkable attention.
Gong Cheng, Junwei Han, Xiaoqiang Lu
semanticscholar +1 more source
Missing data: our view of the state of the art.
Statistical procedures for missing data have vastly improved, yet misconception and unsound practice still abound. The authors frame the missing-data problem, review methods, offer advice, and raise issues that remain unresolved.
J. Schafer, J. Graham
semanticscholar +1 more source
The work of art in the age of mechanical reproduction
One of the most important works of cultural theory ever written, Walter Benjamin's groundbreaking essay explores how the age of mass media means audiences can listen to or see a work of art repeatedly - and what the troubling social and political ...
W. Benjamin
semanticscholar +1 more source
VPP-ART: An Efficient Implementation of Fixed-Size-Candidate-Set Adaptive Random Testing using Vantage Point Partitioning [PDF]
Adaptive Random Testing (ART) is an enhancement of Random Testing (RT), and aims to improve the RT failure-detection effectiveness by distributing test cases more evenly in the input domain. Many ART algorithms have been proposed, with Fixed-Size-Candidate-Set ART (FSCS-ART) being one of the most effective and popular.
arxiv
Industry 4.0: state of the art and future trends
Rapid advances in industrialisation and informatisation methods have spurred tremendous progress in developing the next generation of manufacturing technology. Today, we are on the cusp of the Fourth Industrial Revolution.
Lida Xu, E. Xu, L. Li
semanticscholar +1 more source
Quantifying Confounding Bias in Generative Art: A Case Study [PDF]
In recent years, AI generated art has become very popular. From generating art works in the style of famous artists like Paul Cezanne and Claude Monet to simulating styles of art movements like Ukiyo-e, a variety of creative applications have been explored using AI.
arxiv
Understanding Visual Arts Experiences of Blind People [PDF]
Visual arts play an important role in cultural life and provide access to social heritage and self-enrichment, but most visual arts are inaccessible to blind people. Researchers have explored different ways to enhance blind people's access to visual arts (e.g., audio descriptions, tactile graphics). However, how blind people adopt these methods remains
arxiv +1 more source