Results 41 to 50 of about 3,617 (191)

Keypoint regression strategy and angle loss based YOLO for object detection

open access: yesScientific Reports, 2023
The YOLOv4 approach has gained significant popularity in industrial object detection due to its impressive real-time processing speed and relatively favorable accuracy.
Xiuling Wang   +4 more
doaj   +1 more source

Palatable‐Food–Driven Top‐Down Circuit Inhibits PVNCRF Activity to Mitigate Stress Via Peri‐PVNCRFR1 Neurons

open access: yesAdvanced Science, EarlyView.
Palatable food alleviates stress and prevents anxiety. This study uncovers a dedicated neural pathway: dopamine release in the PFC activates D1R neurons, whose projections to the peri‐PVN engage a population of anxiolytic CRFR1 neurons. These neurons then inhibit stress‐induced hyperactivity of PVNCRF neurons, providing a circuit‐level explanation for ...
Yuchuan Hong   +12 more
wiley   +1 more source

Fusion of Target and Keypoint Detection for Automated Measurement of Mongolian Horse Body Measurements

open access: yesAgriculture
Accurate and efficient access to Mongolian horse body size information is an important component in the modernization of the equine industry. Aiming at the shortcomings of manual measurement methods, such as low efficiency and high risk, this study ...
Lide Su   +4 more
doaj   +1 more source

A Multimodal Haptic Feedback Interface with Thin‐Film Compliant Mechanism

open access: yesAdvanced Science, EarlyView.
Multimodal haptic devices can trigger different mechanoreceptors, enabling richer haptic information. This study presents an electromagnetic multimodal haptic device capable of delivering indentation, stretch, and vibration stimuli. The device is enabled by a novel polymer thin‐film compliant mechanism that provides high translational compliance along ...
Jingjing Wan   +15 more
wiley   +1 more source

Automated Assessment of Radiographic Bone Loss in the Posterior Maxilla Utilizing a Multi-Object Detection Artificial Intelligence Algorithm

open access: yesApplied Sciences, 2023
Periodontitis is one of the most prevalent diseases worldwide. The degree of radiographic bone loss can be used to assess the course of therapy or the severity of the disease. Since automated bone loss detection has many benefits, our goal was to develop
Andreas Vollmer   +8 more
doaj   +1 more source

Pattern‐Aware Intelligence Enables Nondestructive, Rapid Quantification of High‐Aspect‐Ratio Silicon Etching

open access: yesAdvanced Science, EarlyView.
Pattern‐dependent etching is converted into a physical prior for intelligent reconstruction of high‐aspect‐ratio silicon structures. Combining YOLO‐Pose feature extraction with a topography network, the framework retrieves depth, sidewall angle, and scallop texture from minimal destructive observations, enabling accurate cross‐scale metrology and near ...
Shuyan He   +4 more
wiley   +1 more source

Comparative analysis of methods for keypoint detection in images with different illumination level

open access: yesMATEC Web of Conferences, 2018
This article presents a comparative analysis of methods for keypoint detection that is a part of the research on the development of a surround camera system for large vehicles. Since the night time is the most dangerous for driving and the most difficult
Makarov Aleksei   +2 more
doaj   +1 more source

Multi-scale Keypoints in V1 and Face Detection [PDF]

open access: yes, 2005
End-stopped cells in cortical area V1, which combine outputs of complex cells tuned to different orientations, serve to detect line and edge crossings (junctions) and points with a large curvature. In this paper we study the importance of the multi-scale keypoint representation, i.e.
Rodrigues, J. M. F., du Buf, J. M. H.
openaire   +2 more sources

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender   +2 more
wiley   +1 more source

Identifying an Image-Processing Method for Detection of Bee Mite in Honey Bee Based on Keypoint Analysis

open access: yesAgriculture, 2023
Economic and ecosystem issues associated with beekeeping may stem from bee mites rather than other bee diseases. The honey mites that stick to bees are small and possess a reddish-brown color, rendering it difficult to distinguish them with the naked eye.
Hong Gu Lee   +6 more
doaj   +1 more source

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