Results 31 to 40 of about 494,722 (259)
Shape Matching Based on Multi-Scale Invariant Features
IEEE Access, 2019 Shape matching has been extensively used in various fields. The local feature-based or global feature-based algorithms can hardly describe the shape comprehensively due to their inherent defects.
Zhang Kun, Ma Xiao, Li Xinguo
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Revisiting Multi-Scale Feature Fusion for Semantic Segmentation
CoRR, 2022 It is commonly believed that high internal resolution combined with expensive operations (e.g. atrous convolutions) are necessary for accurate semantic segmentation, resulting in slow speed and large memory usage. In this paper, we question this belief and demonstrate that neither high internal resolution nor atrous convolutions are necessary.
Tianjian Meng +4 more
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Multi-Scale Adversarial Feature Learning for Saliency Detection [PDF]
Symmetry, 2018 Previous saliency detection methods usually focused on extracting powerful discriminative features to describe images with a complex background. Recently, the generative adversarial network (GAN) has shown a great ability in feature learning for synthesizing high quality natural images.
Dandan Zhu +6 more
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Multiplexing Multi-Scale Features Network for Salient Target Detection
Applied SciencesThis paper proposes a multiplexing multi-scale features network (MMF-Network) for salient target detection to tackle the issue of incomplete detection structures when identifying salient targets across different scales.
Xiaoxuan Liu +3 more
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Multi-scale Salient Feature Extraction on Mesh Models [PDF]
, 2012 We present a new method of extracting multi-scale salient features on meshes. It is based on robust estimation of curvature on multiple scales. The coincidence between salient feature and the scale of interest can be established straightforwardly, where detailed feature appears on small scale and feature with more global shape information shows up on ...
Yong-Liang Yang, Chao-Hui Shen
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MBMF: Constructing memory banks of multi‐scale features for anomaly detection
IET Computer VisionIn industrial manufacturing, how to accurately classify defective products and locate the location of defects has always been a concern. Previous studies mainly measured similarity based on extracting single‐scale features of samples. However, only using
Yanfeng Sun +4 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Medication nonadherence during the first 100 days after pediatric hematopoietic stem cell transplantation (HSCT) and during oncology treatment increases risk for complications. BMT4me is a caregiver‐facing mobile health (mHealth) application providing medication reminders, symptom tracking, and note‐taking features to support ...
Micah A. Skeens +4 more
wiley +1 more source
MU-LSM: latent spectral model based on multi-scale fusion and UNet
Complex & Intelligent SystemsFor partial differential equations (PDE), neural operators can learn the mapping of input and output functions in infinite dimensional Spaces by introducing kernel functions into linear transformations.
Jingjian Chen +4 more
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Multi-Scale Warping for Video Frame Interpolation
IEEE Access, 2021 A novel video interpolation network to improve the temporal resolutions of video sequences is proposed in this work. We develop a multi-scale warping module to interpolate intermediate frames robustly for both small and large motions.
Whan Choi, Yeong Jun Koh, Chang-Su Kim
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background General pediatricians often evaluate hematologic and oncologic presentations before subspecialty consultation, yet the 2025 Accreditation Council for Graduate Medical Education (ACGME) pediatric requirements reduce inpatient pediatric hematology/oncology (PHO) time, raising questions about resident readiness.
Colburn Yu, Rohini Jain
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