49,851 Result(s)
within
Wu**an Li
Computer Science
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Article
Cross-Architecture Knowledge Distillation
The Transformer network architecture has gained attention due to its ability to learn global relations and its superior performance. To boost performance, it is natural to distill complementary knowledge from ...
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Correction to: A heuristic hybrid instance reduction approach based on adaptive relative distance and k-means clustering
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SplatFlow: Learning Multi-frame Optical Flow via Splatting
The occlusion problem remains a crucial challenge in optical flow estimation (OFE). Despite the recent significant progress brought about by deep learning, most existing deep learning OFE methods still struggl...
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Msap: multi-scale attention probabilistic network for underwater image enhancement network
Underwater image enhancement is a key technology for improving underwater image quality and enhancing visualization. Due to the light propagation characteristics and absorption scattering by water bodies in un...
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A stabilized Crank-Nicolson virtual element method for the unsteady Navier-Stokes problems with high Reynolds number
This paper studies a stabilized virtual element method for the unsteady Navier-Stokes problems on polygonal meshes. Using “equal-order” virtual elements in space and the Crank-Nicolson scheme in time, we give ...
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DDSC-SMOTE: an imbalanced data oversampling algorithm based on data distribution and spectral clustering
Imbalanced data poses a significant challenge in machine learning, as conventional classification algorithms often prioritize majority class samples, while accurately classifying minority class samples is more...
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A new virtual interpolation technology with range as object
Virtual interpolation technology can be applied to direction-of-arrival (DOA) estimation as a preprocessing technique to achieve the DOA estimation for any array. In order to solve the angle-sensitive problem ...
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Cross-Modal Fusion and Progressive Decoding Network for RGB-D Salient Object Detection
Most existing RGB-D salient object detection (SOD) methods tend to achieve higher performance by integrating additional modules, such as feature enhancement and edge generation. There is no doubt that these mo...
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Boundary-sensitive denoised temporal reasoning network for video action segmentation
Video action segmentation is still challenging since existing models confuse similar actions and actional transition regions, leading to incorrect action inferences and serious over-segmentation errors. To add...
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TAENet: transencoder-based all-in-one image enhancement with depth awareness
Recently, CNN-based all-in-one image enhancement methods have been proposed to solve multiple image degradation tasks. However, these CNN-based methods usually have two limitations. One limitation is that they...
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SPD-YOLOv8: an small-size object detection model of UAV imagery in complex scene
Traditional camera sensors rely on human observation. However, in complex scenes, people often experience fatigue when observing objects of various sizes. Moreover, human cognitive abilities have inherent limi...
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Emotion recognition with attention mechanism-guided dual-feature multi-path interaction network
Electroencephalography (EEG)-based emotion recognition has gained widespread attention recently. Although many deep learning methods have been proposed, it is still challenging to simultaneously fuse informati...
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Hugs Bring Double Benefits: Unsupervised Cross-Modal Hashing with Multi-granularity Aligned Transformers
Unsupervised cross-modal hashing (UCMH) has been commonly explored to support large-scale cross-modal retrieval of unlabeled data. Despite promising progress, most existing approaches are developed on convolut...
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Perception data fusion-based computation offloading in cooperative vehicle infrastructure systems
With the rapid advancement of intelligent transportation systems, cooperative vehicle infrastructure systems emerge as a vital frontier for development. Real-time mutual fusion of perception data is a crucial ...
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Open AccessDomain Generalization with Small Data
In this work, we propose to tackle the problem of domain generalization in the context of insufficient samples. Instead of extracting latent feature embeddings based on deterministic models, we propose to learn a...
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Clustering-assisted gradient-based optimizer for scheduling parallel cloud workflows with budget constraints
Cloud computing has gradually become one of the most popular platforms for executing scientific applications due to its elastic and on-demand resource provisional capabilities. But, how to effectively schedule...
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Open AccessEvent-Based Non-rigid Reconstruction of Low-Rank Parametrized Deformations from Contours
Visual reconstruction of fast non-rigid object deformations over time is a challenge for conventional frame-based cameras. In recent years, event cameras have gained significant attention due to their bio-insp...
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Softmax-Free Linear Transformers
Vision transformers (ViTs) have pushed the state-of-the-art for visual perception tasks. The self-attention mechanism underpinning the strength of ViTs has a quadratic complexity in both computation and memory...
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A lightweight road crack detection algorithm based on improved YOLOv7 model
Road crack detection plays a crucial role in protecting road safety. However, early manual detection is not only time-consuming and laborious but also highly inefficient. Although existing road inspection vehi...
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Generalized sampling expansion for the quaternion linear canonical transform
The theory of quaternions has gained firm ground in recent times and is being widely explored, with the field of signal and image processing being no exception. However, many important aspects of quaternionic ...
