Learning where to attend with deep architectures for image tracking

Learning where to attend with deep architectures for image tracking

Mostra altre versioni (1)

Dettagli Bibliografici
Autori principali:	Denil, M, Bazzani, L, Larochelle, H, de Freitas, N
Natura:	Journal article
Pubblicazione:	2012

Documenti analoghi

Learning Where to Attend with Deep Architectures for Image Tracking
di: Denil, M, et al.
Pubblicazione: (2012)

Learning attentional policies for tracking and recognition in video with deep networks
di: Bazzani, L, et al.
Pubblicazione: (2011)

Predicting Parameters in Deep Learning
di: Denil, M, et al.
Pubblicazione: (2013)

Linear and Parallel Learning for Markov Random Fields
di: Mizrahi, Y, et al.
Pubblicazione: (2014)

Applications of machine learning and deep learning to thyroid imaging: where do we stand?
di: Eun Ju Ha, et al.
Pubblicazione: (2021-01-01)

DL_Track - Automated analysis of muscle architecture from B-mode ultrasonography images using deep learning
di: Paul Ritsche, et al.
Pubblicazione: (2023-02-01)

When an Event Is Perceived Depends on Where We Attend
di: Ljubica Jovanovic, et al.
Pubblicazione: (2019-06-01)

Tracking Where the O’s Go
di: Amit S. Kalgutkar
Pubblicazione: (2015-06-01)

Image classification with various deep learning architectures
di: Liu, Hexin
Pubblicazione: (2018)

Choosing where to attend and the medial frontal cortex: an FMRI study.
di: Taylor, P, et al.
Pubblicazione: (2008)

ORGANIZATION OF PROGRESS AND ATTENDANCE TRACKING IN THE MOODLE LEARNING MANAGEMENT SYSTEM
di: A. Scherbyna
Pubblicazione: (2014-04-01)

Toward the Implementation of a Quantum RBM
di: Denil, M, et al.
Pubblicazione: (2011)

Tracking former UUM students: Where are they?
di: Mat Cha, Md Zahir, et al.
Pubblicazione: (2017)

Classification of Architectural Heritage Images Using Deep Learning Techniques
di: Jose Llamas, et al.
Pubblicazione: (2017-09-01)

ENHANCING A LEARNING MANAGEMENT SYSTEM TO TRACK ATTENDANCE USING RFID
di: Kamal Hingorani, et al.
Pubblicazione: (2013-01-01)

Tracking attendance for reserve army via image processing / Muhammad Adnin Shahri
di: Shahri, Muhammad Adnin
Pubblicazione: (2015)

Towards Mapping Images to Text Using Deep-Learning Architectures
di: Daniela Onita, et al.
Pubblicazione: (2020-09-01)

Revealing architectural order with quantitative label-free imaging and deep learning
di: Syuan-Ming Guo, et al.
Pubblicazione: (2020-07-01)

Multiple Ship Tracking in Remote Sensing Images Using Deep Learning
di: Jin Wu, et al.
Pubblicazione: (2021-09-01)

ODD-Net: a hybrid deep learning architecture for image dehazing
di: C. S. Asha, et al.
Pubblicazione: (2024-12-01)

DeepOCT: An explainable deep learning architecture to analyze macular edema on OCT images
di: Gokhan Altan
Pubblicazione: (2022-10-01)

Optimizing Image Classification: Automated Deep Learning Architecture Crafting with Network and Learning Hyperparameter Tuning
di: Koon Meng Ang, et al.
Pubblicazione: (2023-11-01)

DOES DENTAL STUDENTS' ATTENDANCE IN CLASSROOM LECTURES DEPEND ON THE MODE OF ATTENDANCE TRACKING?
di: Hani Mawardi, et al.
Pubblicazione: (2021-07-01)

Age Prediction from Facial Images Using Deep Learning Architecture
di: Nguyen Hai Thanh, et al.
Pubblicazione: (2024-12-01)

Image-Based Plant Disease Identification by Deep Learning Meta-Architectures
di: Muhammad Hammad Saleem, et al.
Pubblicazione: (2020-10-01)

FUSION OF DEEP LEARNING ARCHITECTURES FOR ENHANCED TARGET RECOGNITION ON SAR IMAGES
di: KHAIREDDINE CHEIKH, et al.
Pubblicazione: (2023-12-01)

Spark Architecture for deep learning-based dose optimization in medical imaging
di: Clémence Alla Takam, et al.
Pubblicazione: (2020-01-01)

Deep Learning Approaches Based on Transformer Architectures for Image Captioning Tasks
di: Roberto Castro, et al.
Pubblicazione: (2022-01-01)

IMPROVED DEEP LEARNING ARCHITECTURE FOR DEPTH ESTIMATION FROM SINGLE IMAGE
di: Suhaila F. A. Abuowaida, et al.
Pubblicazione: (2020-12-01)

Deep Learning Architectures for Navigation Using Forward Looking Sonar Images
di: Jose E. Almanza-Medina, et al.
Pubblicazione: (2021-01-01)

A Deep Learning Architecture for Vascular Area Measurement in Fundus Images
di: Kanae Fukutsu, MD, et al.
Pubblicazione: (2021-03-01)

DEEP LEARNING ARCHITECTURE BASED ON CONVOLUTIONAL NEURAL NETWORK (CNN) IN IMAGE CLASSIFICATION
di: Fawaidul Badri, et al.
Pubblicazione: (2023-12-01)

Large group face recognition for attendance tracking
di: Yeap, Jia Hao
Pubblicazione: (2024)

Narrowing the Gap: Random Forests In Theory and In Practice
di: Denil, M, et al.
Pubblicazione: (2014)

Distributed Parameter Estimation in Probabilistic Graphical Models
di: Mizrahi, Y, et al.
Pubblicazione: (2014)

Consistency of Online Random Forests
di: Denil, M, et al.
Pubblicazione: (2013)

Deep Learning in Face Recognition for Attendance System: An Exploratory Study
di: Mochamad Azkal Azkiya Aziz, et al.
Pubblicazione: (2022-09-01)

DEEP LEARNING IMPLEMENTATION FOR EMPLOYEE ATTENDANCE SYSTEM IN UNIVERSITAS PERTAMINA
di: Meredita Susanty, et al.
Pubblicazione: (2021-10-01)

Deep Learning in Face Recognition for Attendance System: An Exploratory Study
di: Mochamad Azkal Azkiya Aziz, et al.
Pubblicazione: (2022-09-01)

Where to Place an Online Ad: An Eye-Tracking Experiment
di: Daniela Ioniță, et al.
Pubblicazione: (2019-11-01)