Multi-scale Sparse Network with Cross-Attention Mechanism for image-based butterflies fine-grained classification

Li, Maopeng; Zhou, Guoxiong; Cai, Weiwei; Li, Jiayong; Li, Mingxuan; He, Mingyi; Hu, Yahui; Li, Liujun

doi:10.1016/j.asoc.2022.108419

Cited by 19 publications

(6 citation statements)

References 31 publications

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“…At the same time, in the process of construction, the relationship between ideas and educational systems should be clearly divided. [14] is a mechanism that enhances the Encoder + Decoder model's performance by taking into account how people typically observe things. Machine translation was carried out while aligning the source languages, which clearly improved the performance of the neural network machine translation model.…”

Section: Related Workmentioning

confidence: 99%

Analysis of the Basic Characteristics and Teaching Environment and Mode of Music Appreciation Course Based on Core Literacy

2022

Journal of Environmental and Public Health

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The main goals of a music appreciation course are to develop college students’ emotions, improve their musical abilities, and strengthen their conceptual framework. This essay primarily introduces the fundamental elements and instructional approach of a music appreciation course built on core literacy. In order to clarify the need for and orientation of basic literacy in college music appreciation teaching, as well as to understand the special value of the subject, we conducted research on the relationship between basic literacy and college music appreciation teaching. Based on this, a new detection algorithm that fuses feature fusion and AM (attention mechanism) is proposed, and visual AM is added to the algorithm based on AM features to help the agent learn the best course of action quickly. The findings indicate that this method’s cumulative normalized discount gain increases by about 0.07 and that the recommended list’s overall quality has significantly improved. The hit ranking is decreased by about 0.05 when compared to the collaborative neural network filtering method without AM.

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Section: Related Workmentioning

confidence: 99%

Analysis of the Basic Characteristics and Teaching Environment and Mode of Music Appreciation Course Based on Core Literacy

2022

Journal of Environmental and Public Health

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“…In supervised classification [26], the categories of known patterns and the category attributes of some samples are first learned or trained with samples with category labels, so that the classification system can correctly classify these known samples and then use. A learned classification system classifies unknown samples.…”

Section: Integration and Utilization Of Universitymentioning

confidence: 99%

Integration and Utilization Strategy of University English Teaching Information Resources Based on Fuzzy Clustering Algorithm

Yang¹

2022

Mobile Information Systems

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With the changes of the times and the development of science and technology, modern multimedia technique has entered the field of schooling without hesitation. Modern schooling faces new challenges as a result of the information society. A new way of teaching is to integrate curriculum and information technology. Message technology is used to support not only teaching and learning but also the use of message-based resources. Students’ innovative thinking and action ability in the process of integration can be effectively released by mobilising the initiative and enthusiasm of science and engineering students. The quality of university English education has significantly improved since the implementation of the web-based schooling model. However, a number of obstacles prevent educators from making better use of educational message resources. A fuzzy clustering algorithm is used in this paper. The time spent on clustering optimization is reduced by more than half using this algorithm. Its prototype-based clustering algorithm is simple, efficient, and adaptable to large numbers. In clustering analysis, it is the most commonly used algorithm and a research hotspot.

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“…To solve the problem of unfocused semantic features, M. Li et al. (2022) proposed a three‐directional cross‐attention mechanism (CAM). To cooperate the feature extraction of multi‐scale with two‐channel convolutional networks, Zhang et al.…”

Section: Introductionmentioning

confidence: 99%

An integration–competition network for bridge crack segmentation under complex scenes

Sun,

Yang,

Zhou

et al. 2023

Computer aided Civil Eng

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The segmentation accuracy of bridge crack images is influenced by high‐frequency light, complex scenes, and tiny cracks. Therefore, an integration–competition network (complex crack segmentation network [CCSNet]) is proposed to address these problems. First, a grayscale‐oriented adjustment algorithm is proposed to solve the high‐frequency light problem. Second, an integration–competition mechanism is proposed to detach complex backgrounds and grayscale features of cracks. Finally, a tiny attention mechanism is proposed to extract the shallow features of tiny cracks. CCSNet outperforms seven state‐of‐the‐art crack segmentation methods in both generalization and comparison experiments on self‐built dataset and four public datasets. It also achieved excellent performance in practical bridge crack tests. Therefore, CCSNet is an effective auxiliary method for lowering the cost of bridge safety detection.

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Multi-scale Sparse Network with Cross-Attention Mechanism for image-based butterflies fine-grained classification

Cited by 19 publications

References 31 publications

Analysis of the Basic Characteristics and Teaching Environment and Mode of Music Appreciation Course Based on Core Literacy

Analysis of the Basic Characteristics and Teaching Environment and Mode of Music Appreciation Course Based on Core Literacy

Integration and Utilization Strategy of University English Teaching Information Resources Based on Fuzzy Clustering Algorithm

An integration–competition network for bridge crack segmentation under complex scenes

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