609 Result(s)
within
English
Computer Science
Computer Communication Networks
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Article
Analysis of visible–near infrared spectral characteristics for water layer management of rice based on the big data platform
The objective of this study was to evaluate the potential of big data technology for spectral feature extraction rice plants under different water management. In this study, we performed reflectance spectral a...
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Article
An improved indicator-based two-archive algorithm for many-objective optimization problems
The large number of objectives in many-objective optimization problems (MaOPs) has posed significant challenges to the performance of multi-objective evolutionary algorithms (MOEAs) in terms of convergence and...
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Article
DTN-MTLF: A dual-teacher network based multi-task learning framework for unbiased glaucoma diagnosis
Glaucoma is a chronic progressive optic neuropathy that is the leading cause of irreversible blindness worldwide. Develo** precise automatic screening algorithms is essential for early detection and treatmen...
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Article
Multi-view clustering via dual-norm and HSIC
Fully capturing valid complementary information in multi-view data enhances the connection between similar data points and weakens the correlation between different data point categories. In this paper, we pro...
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Article
A system review on bootstrap** information extraction
Focusing on the supervision problems caused by high-cost and low-quality labeling in information extraction, we provided a detailed overview of the various approaches that were proposed to solve the sub-tasks ...
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Article
Arbitrary style transfer method with attentional feature distribution matching
Most arbitrary style transfer methods only consider transferring the features of the style and content images. Although the pixel-wise style transfer is achieved. It is limited to preserving the content struct...
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Article
Frequency-importance gaussian splatting for real-time lightweight radiance field rendering
Recently, there have been significant developments in the realm of novel view synthesis relying on radiance fields. By incorporating the Splatting technique, a new approach named Gaussian Splatting has achieve...
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Article
A coupled generative graph convolution network by capturing dynamic relationship of regional flow for traffic prediction
Traffic flow prediction plays a critical role in urban traffic management and planning. Accurate prediction of traffic flow can enhance traffic efficiency, improve traffic safety, conserve traffic resources, a...
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Article
FMR-Net: a fast multi-scale residual network for low-light image enhancement
The low-light image enhancement algorithm aims to solve the problem of poor contrast and low brightness of images in low-light environments. Although many image enhancement algorithms have been proposed, they ...
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Article
Multimodal dual emotion with fusion of visual sentiment for rumor detection
In recent years, widely spreading rumors have brought devastating impacts on society, making rumor detection a significant challenge. Exsisting researches improves that image palys an important role in rumor d...
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Article
Mmy-net: a multimodal network exploiting image and patient metadata for simultaneous segmentation and diagnosis
Accurate medical image segmentation can effectively assist disease diagnosis and treatment. While neural networks were often applied to solve the segmentation problem in recent computer-aided diagnosis, the me...
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Article
Visual detection for mobile phone surface defects based on semisupervised learning
This paper presents Fix-YOLOX (Fixmatch-You Only Look Once X), a semisupervised target detection model that uses a small amount of annotated data for fully supervised training, and adds a semisupervised traini...
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Article
Multi-level video captioning method based on semantic space
Video captioning is designed to generate natural language descriptions based on video content. Traditional methods extract visual features and interactive relationship features between objects, but the problem...
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Article
LKFormer: large kernel transformer for infrared image super-resolution
Given the broad application of infrared technology across diverse fields, there is an increasing emphasis on investigating super-resolution techniques for infrared images within the realm of deep learning. Des...
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Article
Occluded person re-identification based on feature fusion and sparse reconstruction
Person Re-identification is one of the hotspots in the field of computer vision, especially for occluded person re-identification, which is still a challenge. In this paper, a feature fusion and sparse reconst...
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Article
Fusion-Mask-RCNN: Visual robotic gras** in cluttered scenes
Realizing stable robotic gras** in cluttered scenes is a key problem in the field of intelligent robots. In this paper, we design a visual strategy to grasp unoccluded objects in cluttered scenes, which impr...
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Chapter and Conference Paper
DecTrans: Person Re-identification with Multifaceted Part Features via Decomposed Transformer
Utilizing part-level features provides a more detailed representation, leading to improved results in person re-identification (ReID). Yet existing works either use external tasks like pose estimation or strug...
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Chapter and Conference Paper
IPFR: Identity-Preserving Face Reenactment with Enhanced Domain Adversarial Training and Multi-level Identity Priors
In the face reenactment task, identity preservation is challenging due to the leakage of driving identity and the complexity of source identity. In this paper, we propose an Identity-Preserving Face Reenactmen...
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Chapter and Conference Paper
Challenges and Constraints in Deformation-Based Medical Mesh Representation
Mesh representation of medical imaging isosurfaces are essential for medical analysis. These representations are typically obtained using mesh extraction methods to segment 3D volumes. However, the meshes extr...
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Chapter and Conference Paper
Temporal-Channel Topology Enhanced Network for Skeleton-Based Action Recognition
Skeleton-based action recognition has become popular in recent years due to its efficiency and robustness. Most current methods adopt graph convolutional network (GCN) for topology modeling, but GCN-based meth...
