3,022 Result(s)
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Article
Hierarchical contrastive representation for zero shot learning
Zero-shot learning aims to identify unseen (novel) objects, using only labeled samples from seen (base) classes. Existing methods usually learn visual-semantic interactions or generate absent visual features o...
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A novel dual-branch Alzheimer’s disease diagnostic model based on distinguishing atrophic patch localization
Magnetic resonance imaging (MRI), a non-ionizing radiation imaging method, is widely utilized in diagnosing Alzheimer’s disease (AD) due to its excellent imaging ability for brain soft tissues and high-resolut...
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Open AccessA Lightweight Task-Agreement Meta Learning for Low-Resource Speech Recognition
Meta-learning has proven to be a powerful paradigm for transferring knowledge from prior tasks to facilitate the quick learning of new tasks in automatic speech recognition. However, the differences between la...
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Open AccessFrom single to universal: tiny lesion detection in medical imaging
Accurate and automatic detection of tiny lesions in medical imaging plays a critical role in comprehensive cancer diagnosis, staging, treatment, follow-up, and prognosis. Numerous deep learning (DL) based stud...
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Open AccessPinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting
Power load data frequently display outliers and an uneven distribution of noise. To tackle this issue, we present a forecasting model based on an improved extreme learning machine (ELM). Specifically, we intro...
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Efficient frictional contacts for soft body dynamics via ADMM
This paper addresses the longstanding challenge of soft body dynamics with frictional contact through a novel combination of Projective Dynamics for elasticity simulation and Alternating Direction Method of Mu...
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Open AccessLarge-Kernel Attention for 3D Medical Image Segmentation
Automated segmentation of multiple organs and tumors from 3D medical images such as magnetic resonance imaging (MRI) and computed tomography (CT) scans using deep learning methods can aid in diagnosing and tre...
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Open AccessA survey on wind power forecasting with machine learning approaches
Wind power forecasting techniques have been well developed over the last half-century. There has been a large number of research literature as well as review analyses. Over the past 5 decades, considerable adv...
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ParaLkResNet: an efficient multi-scale image classification network
Recently, deep neural networks have achieved remarkable results in computer vision tasks with the widely used visual attention mechanism. However, the introduction of the visual attention mechanism increases t...
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FusionDeformer: text-guided mesh deformation using diffusion models
Mesh deformation has a wide range of applications, including character creation, geometry modelling, deforming animation, and morphing. Recently, mesh deformation methods based on CLIP models demonstrated the ...
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PosMLP-Video: Spatial and Temporal Relative Position Encoding for Efficient Video Recognition
In recent years, vision Transformers and MLPs have demonstrated remarkable performance in image understanding tasks. However, their inherently dense computational operators, such as self-attention and token-mi...
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Open-Vocabulary Animal Keypoint Detection with Semantic-Feature Matching
Current image-based keypoint detection methods for animal (including human) bodies and faces are generally divided into fully supervised and few-shot class-agnostic approaches. The former typically relies on l...
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Learning Temporal Variations for 4D Point Cloud Segmentation
LiDAR-based 3D scene perception is a fundamental and important task for autonomous driving. Most state-of-the-art methods on LiDAR-based 3D recognition tasks focus on single-frame 3D point cloud data, ignoring...
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FMDADA: Federated multi-discriminative adversarial domain adaptation
Federated domain adaptation system aims to address the problem of domain shift in a federated learning (FL) framework, where knowledge learned from distributed source domains can be readily transferred to the ...
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Publisher Correction: FusionDeformer: text-guided mesh deformation using diffusion models
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Article
Priori separation graph convolution with long-short term temporal modeling for skeleton-based action recognition
Human action recognition from skeleton motion sequences is widely applied in various fields such as virtual reality, human-computer interaction and kinematic rehabilitation. With the wide use of graph neural n...
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CG-FAS: Cross-label Generative Augmentation for Face Anti-Spoofing
Face Anti-Spoofing (FAS) is essential to secure face recognition systems from various physical attacks. A sufficient and diverse training set helps to build robust FAS models. To exploit the potential of FAS d...
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Open AccessErratum to: Dynamic ocean inverse modeling based on differentiable rendering
The authors apologize for a hidden error in the article. It is that the images in Figs. 14(a) and 14(d) were mistakenly presented as left–right mirror images. The authors have flipped them to ensure that the f...
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Collective Movement Simulation: Methods and Applications
Collective movement simulations are challenging and important in many areas, including life science, mathematics, physics, information science and public safety. In this survey, we provide a comprehensive revi...
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Open AccessMulti-scale hash encoding based neural geometry representation
Recently, neural implicit function-based representation has attracted more and more attention, and has been widely used to represent surfaces using differentiable neural networks. However, surface reconstructi...
