This is read by an automated voice. Please report any issues or inconsistencies here. A California food manufacturer is recalling thousands of cases of salad dressing distributed to major retailers ...
Event-based cameras are sensors inspired by the human eye, offering advantages such as high-speed robustness and low power consumption. Established deep learning techniques have proven effective in ...
Tristan Jurkovich began his career as a journalist in 2011. His childhood love of video games and writing fuel his passion for archiving this great medium’s history. He dabbles in every genre, but ...
Introduction: In real agricultural environments, many pests camouflage themselves against complex backgrounds, significantly increasing detection difficulty. This study addresses the challenge of ...
Abstract: A key issue of existing deep-learning-based object detection methods in remote sensing images is that they often struggle to differentiate the background and small object regions due to ...
Abstract: Due to the ill-posed nature of locating 3D objects based on image inputs, objects detected by camera-based detectors tend to have considerable uncertainty in their localization. Previous ...
Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...
NickySpatial is a Python package that provides object-based image analysis (OBIA) functionality similar to commercial software like eCognition. It allows users to segment geospatial imagery into ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback