Unsupervised learning of landmarks by descriptor vector exchange

Unsupervised learning of landmarks by descriptor vector exchange

Equivariance to random image transformations is an effective method to learn landmarks of object categories, such as the eyes and the nose in faces, without manual supervision. However, this method does not explicitly guarantee that the learned landmarks are consistent with changes between different...

Descrizione completa

Dettagli Bibliografici
Autori principali:	Thewlis, J, Albanie, S, Bilen, H, Vedaldi, A
Natura:	Conference item
Lingua:	English
Pubblicazione:	IEEE 2020

Documenti analoghi

Unsupervised learning of object landmarks by factorized spatial embeddings
di: Thewlis, J, et al.
Pubblicazione: (2017)

Modelling and unsupervised learning of symmetric deformable object categories
di: Thewlis, J, et al.
Pubblicazione: (2018)

Unsupervised learning of object frames by dense equivariant image labelling
di: Thewlis, J, et al.
Pubblicazione: (2017)

Unsupervised learning of object landmarks through conditional image generation
di: Jakab, T, et al.
Pubblicazione: (2018)

Learning grimaces by watching TV
di: Albanie, S, et al.
Pubblicazione: (2016)

Unsupervised Learning Based on Multiple Descriptors for WSIs Diagnosis
di: Taimoor Shakeel Sheikh, et al.
Pubblicazione: (2022-06-01)

Descriptor learning using convex optimisation
di: Simonyan, K, et al.
Pubblicazione: (2012)

Unsupervised detection of contrast enhanced highlight landmarks
di: Tao Wu, et al.
Pubblicazione: (2023-10-01)

Learning local feature descriptors using convex optimisation
di: Simonyan, K, et al.
Pubblicazione: (2014)

Density-of-states similarity descriptor for unsupervised learning from materials data
di: Martin Kuban, et al.
Pubblicazione: (2022-10-01)

Cross pixel optical-flow similarity for self-supervised learning
di: Mahendran, A, et al.
Pubblicazione: (2019)

Small steps and giant leaps: minimal newton solvers for deep learning
di: Henriques, J, et al.
Pubblicazione: (2020)

Fingerphoto morphing attack generation using texture descriptors based landmarks
di: Hailin Li, et al.
Pubblicazione: (2024-07-01)

HPatches: A benchmark and evaluation of handcrafted and learned local descriptors
di: Balntas, V, et al.
Pubblicazione: (2017)

Siamese comparative transformer-based network for unsupervised landmark detection.
di: Can Zhao, et al.
Pubblicazione: (2024-01-01)

Learning to read by spelling: towards unsupervised text recognition
di: Gupta, A, et al.
Pubblicazione: (2020)

Learning to read by spelling: towards unsupervised text recognition
di: Gupta, A, et al.
Pubblicazione: (2018)

HPatches: A benchmark and evaluation of handcrafted and learned local descriptors
di: Balntas, V, et al.
Pubblicazione: (2019)

Unsupervised identification of crystal defects from atomistic potential descriptors
di: Lukáš Kývala, et al.
Pubblicazione: (2025-02-01)

Self-supervised learning of geometrically stable features through probabilistic introspection
di: Novotny, D, et al.
Pubblicazione: (2018)

Moving SLAM: fully unsupervised deep learning in non-rigid scenes
di: Xu, D, et al.
Pubblicazione: (2021)

Learning multiple visual domains with residual adapters
di: Rebuffi, S, et al.
Pubblicazione: (2018)

A compact and discriminative face track descriptor
di: Parkhi, OM, et al.
Pubblicazione: (2014)

Unsupervised learning of probably symmetric deformable 3D objects from images in the wild
di: Wu, S, et al.
Pubblicazione: (2020)

Approach for 3D Cultural Relic Classification Based on a Low-Dimensional Descriptor and Unsupervised Learning
di: Hongjuan Gao, et al.
Pubblicazione: (2020-11-01)

Unsupervised learning of probably symmetric deformable 3D objects from images in the wild
di: Wu, S, et al.
Pubblicazione: (2021)

Landmark Topology Descriptor-Based Place Recognition and Localization under Large View-Point Changes
di: Guanhong Gao, et al.
Pubblicazione: (2023-12-01)

Self-supervised segmentation by grouping optical-flow
di: Mahendran, A, et al.
Pubblicazione: (2019)

Invariant information clustering for unsupervised image classification and segmentation
di: Ji, X, et al.
Pubblicazione: (2020)

Slim DensePose: Thrifty learning from sparse annotations and motion cues
di: Neverova, N, et al.
Pubblicazione: (2020)

Unsupervised learning of probably symmetric deformable 3D objects from images in the wild (extended abstract)
di: Wu, S, et al.
Pubblicazione: (2021)

Color Content Descriptors of Images by Vector Quantization
di: Jan Mihalik, et al.
Pubblicazione: (2020-01-01)

Unsupervised learning of 3D object categories from videos in the wild
di: Henzler, P, et al.
Pubblicazione: (2021)

Unsupervised intuitive physics from visual observations
di: Ehrhardt, S, et al.
Pubblicazione: (2019)

Self-supervised learning of interpretable keypoints from unlabelled videos
di: Jakab, T, et al.
Pubblicazione: (2020)

Fully-trainable deep matching
di: Thewlis, J, et al.
Pubblicazione: (2016)

Unsupervised part discovery from contrastive reconstruction
di: Choudhury, S, et al.
Pubblicazione: (2021)

Emotion recognition in speech using cross-modal transfer in the wild
di: Albanie, S, et al.
Pubblicazione: (2018)

Emotion Recognition in Speech using Cross-Modal Transfer in the Wild
di: Albanie, S, et al.
Pubblicazione: (2018)

Weakly supervised deep detection networks
di: Vedaldi, A, et al.
Pubblicazione: (2016)