Unsupervised Keypoints

6 papers with code • 0 benchmarks • 0 datasets

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Most implemented papers

Deep Feature Factorization For Concept Discovery

jacobgil/pytorch-grad-cam ECCV 2018

We propose Deep Feature Factorization (DFF), a method capable of localizing similar semantic concepts within an image or a set of images.

Unsupervised learning of object landmarks by factorized spatial embeddings

alldbi/Factorized-Spatial-Embeddings ICCV 2017

Learning automatically the structure of object categories remains an important open problem in computer vision.

SCOPS: Self-Supervised Co-Part Segmentation

NVlabs/SCOPS CVPR 2019

Parts provide a good intermediate representation of objects that is robust with respect to the camera, pose and appearance variations.

AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints

xingzhehe/AutoLink-Self-supervised-Learning-of-Human-Skeletons-and-Object-Outlines-by-Linking-Keypoints 21 May 2022

Our key ingredients are i) an encoder that predicts keypoint locations in an input image, ii) a shared graph as a latent variable that links the same pairs of keypoints in every image, iii) an intermediate edge map that combines the latent graph edge weights and keypoint locations in a soft, differentiable manner, and iv) an inpainting objective on randomly masked images.

Unsupervised Keypoints from Pretrained Diffusion Models

ubc-vision/StableKeypoints 29 Nov 2023

Unsupervised learning of keypoints and landmarks has seen significant progress with the help of modern neural network architectures, but performance is yet to match the supervised counterpart, making their practicability questionable.