Results 281 to 290 of about 26,507,570 (297)

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

European Conference on Computer Vision, 2016
We consider image transformation problems, where an input image is transformed into an output image. Recent methods for such problems typically train feed-forward convolutional neural networks using a per-pixel loss between the output and ground-truth ...
Justin Johnson, Alexandre Alahi, Li Fei-Fei   +2 more
semanticscholar   +1 more source

Real-Time Type 1 Diabetes Self-Management Decision-Making in Adolescents: Protocol for a Longitudinal Mixed Methods Study Using Text Messaging and Continuous Glucose Monitoring

International Journal for Quality in Health Care, 2007
Background Type 1 diabetes (T1D) requires repeated self-management behaviors and ongoing problem-solving to maintain optimal glucose levels and prevent complications. Despite increasing adoption of continuous glucose monitoring (CGM), which can alleviate
M. DeJonckheere, S. Chuisano, Juniar Lucien, Fouzaan Amjad, Oorvi Duvvuri, Hasan Khan, Maryam Khan, Rafee Mirza, Maya Joy Ollivierre, T. Guetterman, Yu Kuei Lin, Lorraine R Buis, James E Aikens, Caroline Richardson, Joyce M Lee   +14 more
semanticscholar   +1 more source

YOLOv10: Real-Time End-to-End Object Detection

Neural Information Processing Systems
Over the past years, YOLOs have emerged as the predominant paradigm in the field of real-time object detection owing to their effective balance between computational cost and detection performance.
Ao Wang, Hui Chen, Lihao Liu, Kai Chen, Zijia Lin, Jungong Han, Guiguang Ding   +6 more
semanticscholar   +1 more source

YOLOv12: Attention-Centric Real-Time Object Detectors

arXiv.org
Enhancing the network architecture of the YOLO framework has been crucial for a long time, but has focused on CNN-based improvements despite the proven superiority of attention mechanisms in modeling capabilities.
Yunjie Tian, Qixiang Ye, David S. Doermann   +2 more
semanticscholar   +1 more source

BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation

International Journal of Computer Vision, 2020
Low-level details and high-level semantics are both essential to the semantic segmentation task. However, to speed up the model inference, current approaches almost always sacrifice the low-level details, leading to a considerable decrease in accuracy ...
Changqian Yu, Changxin Gao, Jingbo Wang, Gang Yu, Chunhua Shen, N. Sang   +5 more
semanticscholar   +1 more source

Learning Patterns of Activity Using Real-Time Tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
Our goal is to develop a visual monitoring system that passively observes moving objects in a site and learns patterns of activity from those observations. For extended sites, the system will require multiple cameras. Thus, key elements of the system are
C. Stauffer, W. Grimson
semanticscholar   +1 more source

Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

Methods, 2001
K. Livak, Thomas D. Schmittgen
semanticscholar   +1 more source

Analyzing real-time PCR data by the comparative CT method

Nature Protocols, 2008
Thomas D. Schmittgen, K. Livak
semanticscholar   +1 more source