Suggested Topics within your search.
Suggested Topics within your search.
-
901
-
902
A contrast enhanced representation normalization approach to knowledge distillation
Published 2025-04-01“…We observe that the existence of a large number of negative sample pairs in the knowledge transfer process leads to the issue of information redundancy. To mitigate this issue, we propose a representation normalization method and apply it to contrastive representation distillation. …”
Get full text
Article -
903
Magistratura e gênero: um olhar sobre as mulheres nas cúpulas do judiciário brasileiro
Published 2015-12-01“…The data collected is analysed by functional segment. The text also addresses key issues related to gender distribution in the judicial system through a literature review and interviews with female magistrates in top positions in Brazilian courts. …”
Get full text
Article -
904
-
905
Material Visual Perception and Discharging Robot Control for Baijiu Fermented Grains in Underground Tank
Published 2024-12-01“…Addressing the issue of excessive manual intervention in discharging fermented grains from underground tanks in traditional brewing technology, this paper proposes an intelligent grains-out strategy based on a multi-degree-of-freedom hybrid robot. …”
Get full text
Article -
906
SiUNet3+-CD: a full-scale connected Siamese network for change detection of VHR images
Published 2022-12-01“…Change detection is a core issue in the study of global change. Inspired by recent success of the UNet3+ architecture originally designed for image semantic segmentation, in this article we proposed a densely connected siamese network for change detection, namely Pre-SiUNet3+-CD (the combination of Pre-processing, Siamese network and UNet3+). …”
Get full text
Article -
907
Spectral decomposition unlocks ascidian morphogenesis
Published 2025-06-01“…In order to achieve this goal, biologists often have to submit movies issued from live imaging of developing embryos either to a qualitative analysis or to basic statistical analysis. …”
Get full text
Article -
908
Self-Supervised Pretraining and Quantization for Fault Tolerant Neural Networks: Friend or Foe?
Published 2025-01-01“…This study investigates the error tolerance of different DNN and SSL techniques in image classification and segmentation tasks, including those relevant to Earth Observation. …”
Get full text
Article -
909
Wavelet-Driven Multi-Band Feature Fusion for RGB-T Salient Object Detection
Published 2024-12-01“…Many methods fail to fully utilize high-frequency and low-frequency features during information interaction among different scale features, limiting detection performance. To address this issue, we propose a method for RGB-T salient object detection that enhances performance through wavelet transform and channel-wise attention fusion. …”
Get full text
Article -
910
A Multi-Strategy Visual SLAM System for Motion Blur Handling in Indoor Dynamic Environments
Published 2025-03-01“…Prevailing methods address this issue by employing semantic information for the identification and processing of dynamic objects in scenes. …”
Get full text
Article -
911
MUTFER2024: A new dataset for South African emotion recognitionMendeley DataGithub repository
Published 2025-06-01“…Subsequently, the images were meticulously segmented and categorized into the specified emotion classes. …”
Get full text
Article -
912
OPEN SURGERY FOR TREATING MULTIPLE ANEURYSMS OF INTRACRANIAL CEREBRAL ARTERIES
Published 2017-06-01Get full text
Article -
913
The Role of Context Definition in Choice Experiments: a Methodological Proposal Based on Customized Scenarios
Published 2020-11-01“…In particular, when dealing with products characterized by a large number of attributes, the construction of the experiment poses the issue of how to express the choice question providing sufficient information. …”
Get full text
Article -
914
Mental Health Status of Lactating Women Residing in Urban Slums and Rural Areas of South India: A Community-Based Cross-Sectional Study
Published 2025-05-01“…Results: The overall prevalence of mental health issues in lactating women from rural and urban slums was 23.6% and 27.3%, respectively. …”
Get full text
Article -
915
Comprehensive multi-phase 3D contrast-enhanced CT imaging for primary liver cancer
Published 2025-05-01“…Abstract Primary liver cancer is a significant global health issue with high incidence and mortality rates worldwide. …”
Get full text
Article -
916
A Real-Time Video Watermarking Algorithm for Authentication of Small-Business Wireless Surveillance Networks
Published 2015-09-01“…Fortunately, video watermark just provides an effective technology to resolve this issue. This paper proposes a real-time video watermarking scheme for MPEG, where firstly exploits fast scenes segmentation to original video sequence and adaptively selects appropriate scenes to be embedded. …”
Get full text
Article -
917
Collaborative Superpixelwised PCA for Hyperspectral Image Classification
Published 2025-01-01“…In this article, a novel method called collaborative superpixelwised PCA (CSPCA) is proposed to address this issue. The main idea behind CSPCA is to collaboratively learn the projections for each superpixel. …”
Get full text
Article -
918
The Initial Attitude Estimation of an Electromagnetic Projectile in the High-Temperature Flow Field Based on Mask R-CNN and the Multi-Constraints Genetic Algorithm
Published 2025-06-01“…This edge image was then processed using the line segment detector (LSD) algorithm to identify the main structural components, characterized by line segments. …”
Get full text
Article -
919
Research on Intelligent Identification Technology for Bridge Cracks
Published 2025-04-01“…The infrastructure construction of bridges is growing rapidly, and the quality of concrete structures is becoming increasingly stringent. However, the issue of cracks in concrete structures remains prominent. …”
Get full text
Article -
920
SFPFMformer: Short-Term Power Load Forecasting for Proxy Electricity Purchase Based on Feature Optimization and Multiscale Decomposition
Published 2025-05-01“…In this paper, a model SFPFMformer for short-term power load forecasting is proposed to address the issue of balancing accuracy and timeliness. In SFPFMformer, the random forest algorithm is applied to select the most important attributes, which reduces redundant attributes and improves performance and efficiency; then, multiple timescale segmentation is used to extract load data features from multiple time dimensions to learn feature representations at different levels. …”
Get full text
Article