Abstract: The human-driven field of computer interface hand gesture recognition has been the subject of vigorous activity in computer vision and machine learning. In response to the increasing need ...

Artificial Intelligence (AI) has become a foundational element of next-generation pattern recognition and image analysis, driving transformative advances ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Today, Apple confirmed its participation in the 2025 International Conference on Computer Vision (ICCV), which will take place from October 19 to 23 in Honolulu. Here are the studies the company will ...

Computer vision moved fast in 2025: new multimodal backbones, larger open datasets, and tighter model–systems integration. Practitioners need sources that publish rigorously, link code and benchmarks, ...

Editor’s note: This is part of a series featuring the five finalists in the 14th annual Carroll Biz Challenge. The competition, which will conclude with a live finale at the Carroll Arts Center in ...

ABSTRACT: To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed.

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

Abstract: Surgical phase recognition is a critical, yet challenging, problem in computer vision, with significant implications for automated surgical training, intraoperative assistance, and workflow ...

ABSTRACT: Aiming at the complex environment such as uneven illumination and variable target scales in mines, achieving precise and real-time detection of potential collision targets such as personnel ...

Bees’ remarkable visual learning abilities make them ideal for studying active information acquisition and representation. Here, we develop a biologically inspired model to examine how flight ...