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...

Volledige beschrijving

Bibliografische gegevens
Hoofdauteurs:	Thewlis, J, Albanie, S, Bilen, H, Vedaldi, A
Formaat:	Conference item
Taal:	English
Gepubliceerd in:	IEEE 2020

Gelijkaardige items

Unsupervised learning of object landmarks by factorized spatial embeddings
door: Thewlis, J, et al.
Gepubliceerd in: (2017)

Modelling and unsupervised learning of symmetric deformable object categories
door: Thewlis, J, et al.
Gepubliceerd in: (2018)

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

Unsupervised learning of object landmarks through conditional image generation
door: Jakab, T, et al.
Gepubliceerd in: (2018)

Learning grimaces by watching TV
door: Albanie, S, et al.
Gepubliceerd in: (2016)

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

Descriptor learning using convex optimisation
door: Simonyan, K, et al.
Gepubliceerd in: (2012)

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

Learning local feature descriptors using convex optimisation
door: Simonyan, K, et al.
Gepubliceerd in: (2014)

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

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

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

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

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

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

Learning to read by spelling: towards unsupervised text recognition
door: Gupta, A, et al.
Gepubliceerd in: (2020)

Learning to read by spelling: towards unsupervised text recognition
door: Gupta, A, et al.
Gepubliceerd in: (2018)

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

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

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

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

Learning multiple visual domains with residual adapters
door: Rebuffi, S, et al.
Gepubliceerd in: (2018)

A compact and discriminative face track descriptor
door: Parkhi, OM, et al.
Gepubliceerd in: (2014)

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

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

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

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

Self-supervised segmentation by grouping optical-flow
door: Mahendran, A, et al.
Gepubliceerd in: (2019)

Invariant information clustering for unsupervised image classification and segmentation
door: Ji, X, et al.
Gepubliceerd in: (2020)

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

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

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

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

Unsupervised intuitive physics from visual observations
door: Ehrhardt, S, et al.
Gepubliceerd in: (2019)

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

Fully-trainable deep matching
door: Thewlis, J, et al.
Gepubliceerd in: (2016)

Unsupervised part discovery from contrastive reconstruction
door: Choudhury, S, et al.
Gepubliceerd in: (2021)

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

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

Weakly supervised deep detection networks
door: Vedaldi, A, et al.
Gepubliceerd in: (2016)