Unsupervised landmark discovery via self-training correspondence

QR Code

Unsupervised landmark discovery via self-training correspondence

Object parts, also known as landmarks, convey information about an object’s shape and spatial configuration in 3D space, especially for deformable objects. The goal of landmark detection is to have a model that, for a particular object instance, can estimate the locations of its parts. Research in t...

Full description

Bibliographic Details
Main Author:	Mallis, Dimitrios
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2023
Subjects:	unsupervised Landmark discovery self-training clustering correspondence keypoints
Online Access:	https://eprints.nottingham.ac.uk/72953/

Similar Items

Seamless pedestrian positioning and navigation using landmarks
by: Basiri, Anahid, et al.
Published: (2016)

Metamorphic exploration of an unsupervised clustering program
by: Yang, Sen, et al.
Published: (2019)

The wayfinding process relationships between decision-making and landmark utility
by: Xia, Jianhong (Cecilia), et al.
Published: (2008)

Development of landmark based routing system for in-car GPS navigation
by: Zeeb, Benjamin, et al.
Published: (2013)

Unsupervised learning of facial expression components
by: Egede, Joy Onyekachukwu
Published: (2013)

Crowdsourcing good landmarks for in-vehicle navigation systems
by: Large, David R., et al.
Published: (2016)

Augmenting landmarks during the head-up provision of in-vehicle navigation advice
by: Large, David R., et al.
Published: (2017)

L 2, 1-based regression and prediction accumulation across views for robust facial landmark detection
by: Martinez, Brais, et al.
Published: (2015)

Effect of allopurinol on all-cause mortality in adults with incident gout: propensity score–matched landmark analysis
by: Kuo, Chang-Fu, et al.
Published: (2015)

Unsupervised labelling of sequential data for location identification in indoor environments
by: Pérez López, Iker, et al.
Published: (2016)

A CNN cascade for landmark guided semantic part segmentation
by: Jackson, Aaron S., et al.
Published: (2016)

Vertebral landmarks for the identification of spinal cord segments in the mouse
by: Harrison, M., et al.
Published: (2012)

Unsupervised online constructed-response tests: Maximising student learning and results integrity
by: Johnson, Genevieve, et al.
Published: (2012)

Accurate Facial Landmarks Detection for Frontal Faces with Extended Tree-Structured Models
by: Liang, Antoni, et al.
Published: (2014)

Towards an open global Wi-Fi indoor positioning system via implicit crowdsourcing
by: Zhang, Dezhi
Published: (2017)

Selective labeling: identifying representative sub-volumes for interactive segmentation
by: Luengo, Imanol, et al.
Published: (2016)

Unsupervised context detection using wireless signals
by: Phung, Dinh, et al.
Published: (2009)

A three-pronged approach to virus discovery
by: Hill, Jack Douglas
Published: (2024)

Response and training needs of school staff towards students self-injury
by: Berger, E., et al.
Published: (2014)

Building a fuzzy trust network in unsupervised multi-agent environments
by: Chang, Elizabeth, et al.
Published: (2005)

Indoor topological localization using a visual landmark sequence
by: Zhu, Jiasong, et al.
Published: (2019)

Foreign correspondents: a case study of China in the digital and globalization age
by: Zhang, Shixin Ivy, et al.
Published: (2017)

The usability analysis for the use of augmented reality and visual instructions in navigation services
by: Basiri, Anahid, et al.
Published: (2016)

Literary correspondences: Bernardin de Saint-Pierre and Mme de Genlis
by: Ford, Rebecca L.
Published: (2015)

High throughput methods applied in biomaterial development and discovery
by: Hook, Andrew L., et al.
Published: (2010)

A study exploring the influences of training on teaching assistants' learning, behaviour and self efficacy
by: Higgins, Helen J.
Published: (2009)

How Do Library Clients Use Discovery Systems?
by: Wells, David, et al.
Published: (2014)

A state of the art opinion mining and its application domains
by: Binali, Haji, et al.
Published: (2009)

Driver-passenger collaboration as a basis for human-machine interface design for vehicle navigation systems
by: Antrobus, Vicki, et al.
Published: (2016)

Understanding teaching assistant self-efficacy in role and in training: its susceptibility to influence
by: Higgins, Helen J., et al.
Published: (2014)

30-Day interbank futures: Investigating the process of price discovery following RBA cash target rate announcements
by: Smales, Lee
Published: (2012)

The use of discovery awareness in intellectual disability services: examining a European approach to challenging behaviour in a UK setting
by: Webb, Joseph Charles
Published: (2017)

An edition of the selected letters of Samuel Rogers
by: May, Charlotte
Published: (2017)

The collected letters of Robert Southey. Part six, 1819-1821
by: Southey, Robert
Published: (2017)

A sentiment based approach to pattern discovery and classification in social media
by: Nguyen, Thin K.
Published: (2012)

Landmark Image Discovery Using Network Clustering"
by: Mohammed Al-Zou’Bi, Ala’A Ahmed
Published: (2022)

Ontology-Learning-Based Focused Crawling for Online Service Advertising Information Discovery and Classification
by: Dong, Hai, et al.
Published: (2012)

Size and shape analysis of error-prone shape data
by: Du, J., et al.
Published: (2015)

The Effect of Sensitivity Training on the Self-Concept of Vocational Students of Donmuang Technical College, Bangkok, Thailand
by: Chantana, Sujitra
Published: (1993)

A genetic algorithm based knowledge discovery system for the design of fluid dispensing processes for electronic packaging
by: Kwong, C., et al.
Published: (2009)