DGNet: An adaptive lightweight defect detection model for new energy vehicle battery current collector
Y Lei, C Yanrong, T Hai, G Ren… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
As an essential component of the new energy vehicle battery, current collectors affect the
performance of battery and are crucial to the safety of passengers. The significant …
performance of battery and are crucial to the safety of passengers. The significant …
Refined edge detection with cascaded and high-resolution convolutional network
Edge detection is represented as one of the most challenging tasks in computer vision, due
to the complexity of detecting the edges or boundaries in real-world images that contains …
to the complexity of detecting the edges or boundaries in real-world images that contains …
[HTML][HTML] Re-abstraction and perturbing support pair network for few-shot fine-grained image classification
The goal of few-shot fine-grained image classification (FSFGIC) is to distinguish subordinate-
level categories with subtle visual differences such as the species of bird and models of car …
level categories with subtle visual differences such as the species of bird and models of car …
A comprehensive review of image line segment detection and description: Taxonomies, comparisons, and challenges
An image line segment is a fundamental low-level visual feature that delineates straight,
slender, and uninterrupted portionsof objects and scenarios within images. Detection and …
slender, and uninterrupted portionsof objects and scenarios within images. Detection and …
The edges of galaxies: Tracing the limits of star formation
N Chamba, I Trujillo, JH Knapen - Astronomy & Astrophysics, 2022 - aanda.org
The outskirts of galaxies have been studied from multiple perspectives for the past few
decades. However, it is still unknown if all galaxies have clear-cut edges similar to everyday …
decades. However, it is still unknown if all galaxies have clear-cut edges similar to everyday …
Tiny and efficient model for the edge detection generalization
Most high-level computer vision tasks rely on low-level image operations as their initial
processes. Operations such as edge detection, image enhancement, and super-resolution …
processes. Operations such as edge detection, image enhancement, and super-resolution …
A feature-weighted suppressed possibilistic fuzzy c-means clustering algorithm and its application on color image segmentation
H Yu, L Jiang, J Fan, S **e, R Lan - Expert Systems with Applications, 2024 - Elsevier
The possibilistic fuzzy c-means clustering (PFCM) algorithm is a hybridization of possibilistic
c-means clustering (PCM) and fuzzy c-means clustering (FCM) algorithms. However, there …
c-means clustering (PCM) and fuzzy c-means clustering (FCM) algorithms. However, there …
A novel method for detecting and delineating coppice trees in UAV images to monitor tree decline
Monitoring tree decline in arid and semi-arid zones requires methods that can provide up-to-
date and accurate information on the health status of the trees at single-tree and sample plot …
date and accurate information on the health status of the trees at single-tree and sample plot …
[HTML][HTML] Multi-scale pseudo labeling for unsupervised deep edge detection
Deep learning currently rules edge detection. However, the impressive progress heavily
relies on high-quality manually annotated labels which require a significant amount of labor …
relies on high-quality manually annotated labels which require a significant amount of labor …
A multiscale gradient fusion method for edge detection in color images utilizing the cbm3d filter
In this paper, a color edge detection strategy based on collaborative filtering combined with
multiscale gradient fusion is proposed. The block-matching and 3D (BM3D) filter are used to …
multiscale gradient fusion is proposed. The block-matching and 3D (BM3D) filter are used to …