The most important misunderstanding in today’s AI discussion is the belief that faster generation reduces the need for ...
Abstract: Many LiDAR-based methods for detecting large objects, single-class object detection, or under easy situations were claimed to perform well. However, due to their failure to exploit image ...
TL;DR: GigaPose is a "hybrid" template-patch correspondence approach to estimate 6D pose of novel objects in RGB images: GigaPose first uses templates, rendered images of the CAD models, to recover ...
Abstract: Salient object detection (SOD) has been in the spotlight recently, yet has been studied less for high-resolution (HR) images. Unfortunately, HR images and their pixel-level annotations are ...
Abstract: This research work dives into an in-depth evaluation of the YOLOv8 (You Only Look Once) algorithm's efficiency in object detection, specially focusing on Barcode and QR code recognition.
As an independent nonprofit, the Internet Archive is fighting for universal access to quality information. We build and maintain all our own systems, but we don’t charge for access, sell user ...
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