Unsupervised Keypoint Estimation
6 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Unsupervised Keypoint Estimation
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
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CUB-200-2011
Most implemented papers
Unsupervised Discovery of Object Landmarks as Structural Representations
YutingZhang/lmdis-rep
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CVPR 2018
Deep neural networks can model images with rich latent representations, but they cannot naturally conceptualize structures of object categories in a human-perceptible way.
SCOPS: Self-Supervised Co-Part Segmentation
Parts provide a good intermediate representation of objects that is robust with respect to the camera, pose and appearance variations.
LatentKeypointGAN: Controlling GANs via Latent Keypoints
Generative adversarial networks (GANs) have attained photo-realistic quality in image generation.
Unsupervised Part Discovery from Contrastive Reconstruction
subhc/unsup-parts
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NeurIPS 2021
First, we construct a proxy task through a set of objectives that encourages the model to learn a meaningful decomposition of the image into its parts.
GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation
xingzhehe/ganseg
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CVPR 2022
Segmenting an image into its parts is a frequent preprocess for high-level vision tasks such as image editing.
AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints
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.
