722 Result(s)
within
English
Computer Science
Computer Communication Networks
Special Purpose and Application-Based Systems
Ri** Feng
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Article
An effective recognition of moving target seismic anomaly for security region based on deep bidirectional LSTM combined CNN
Ground motion target recognition based on seismic signals is more convenient and efficient than traditional manual patrol identification. However, current high-precision identification methods are limited to s...
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Dual-attention-based semantic-aware self-supervised monocular depth estimation
Based on the assumption of photometric consistency, self-supervised monocular depth estimation has been widely studied due to the advantage of avoiding costly annotations. However, it is sensitive to noise, oc...
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GFSCompNet: remote sensing image compression network based on global feature-assisted segmentation
The proliferation of remote sensing image data in recent years has posed a pressing need for efficient compression techniques due to constrained transmission bandwidth. While lossless compression preserves ima...
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Improving the generalization of face forgery detection via single domain augmentation
In recent years, significant progress has been made in the field of face forgery and face forgery detection. However, the performance of the detection methods in the unknown environment is far beyond satisfact...
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FARLut: a two-stage tobacco foreign body detection model incorporating color information and attention mechanism
Accurate detection and rejection of debris in tobacco products play an essential part in ensuring the quality of tobacco products. In recent years, the detection of detritus in the production process has been ...
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Dual enhanced semantic hashing for fast image retrieval
As a highly promising technique in the field of similarity search, the hashing-based image retrieval algorithm has received continued attention in recent years because of its strong ability to efficiently prov...
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Retraction Note: Towards an adaptive human-centric computing resource management framework based on resource prediction and multi-objective genetic algorithm
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An image segmentation fusion algorithm based on density peak clustering and Markov random field
Image segmentation is a crucial task in the field of computer vision. Markov random fields (MRF) based image segmentation method can effectively capture intricate relationships among pixels. However, MRF typic...
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Tile-size aware bitrate allocation for adaptive 360 \(^{\circ }\) video streaming
360 \(^{\circ }\) ∘ videos have becom...
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Adaptive interactive network for RGB-T salient object detection with double map** transformer
The purpose of RGB-Thermal salient object detection (RGB-T SOD) is to segment the common salient objects or regions of the visible light image and the corresponding thermal-infrared image. Thermal-infrared inf...
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Medical image segmentation model based on caputo fractional differential
Medical image segmentation technology, as a key work of modern medical such as intelligent medical diagnosis, has attracted a lot of attention. However, the gray heterogeneity of medical images makes accurate ...
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An efficient and secure opto-cryptosystem for color medical images using 2D-SICM based fractional fourier transform
Medical images contain sensitive information and are prone to various attacks during network transmission. Therefore, it is essential to develop a robust algorithm to ensure the safety of transmitting medical ...
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Article
Open AccessABWOA: adaptive boundary whale optimization algorithm for large-scale digital twin network construction
Digital twin network (DTN) as an emerging network paradigm, have garnered growing attention. For large-scale networks, a crucial problem is how to effectively map physical networks onto the infrastructure plat...
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Graph neural networks for visual question answering: a systematic review
Recently, visual question answering (VQA) has gained considerable interest within the computer vision and natural language processing (NLP) research areas. The VQA task involves answering a question about an i...
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Learning discriminative foreground-and-background features for few-shot segmentation
Few-shot Semantic Segmentation (FSS) endeavors to segment novel categories in a query image by referring to a support set comprising only a few annotated examples. Presently, many existing FSS methodologies pr...
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An optimization high-resolution network for human pose recognition based on attention mechanism
In the high-resolution network (HRNet), the low layer of low resolution part can adopt shallow parallel network structure to maintain the high-resolution features and highlight global features. However, the hi...
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Electronic explosives inspection: a fine-grained X-ray benchmark and few-shot prohibited phone detection model
Under the X-ray scanning, mobile phone explosive modified at the battery is stealthy, which increases the difficulty of security inspections to detect prohibited phones. This critical issue has not received en...
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Single image deraining using local rain distribution map
Existing image deraining methods work on the entire domain of images causing the deraining results to contain rain streaks or over-smoothing. To alleviate these problems, we propose a local pixel rain streak r...
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Recent advances via convolutional sparse representation model for pixel-level image fusion
Image fusion aims to integrate complementary information from different source images into the final output image. This plays a significant role in high-level vision tasks. However, image fusion methods based ...
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Underwater target recognition based on adaptive multi-feature fusion network
Due to the complexity of the underwater environment, underwater acoustic target recognition is more challenging than ordinary target recognition, and has become a hot topic in the field of underwater acoustics...
