Unsupervised Keypoint Estimation

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (6 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints
  21 May 2022 1 repository listed Syntology ran 5 of 5 samples · 0 unverified
  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…
• GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation
  2 Dec 2021 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  Segmenting an image into its parts is a frequent preprocess for high-level vision tasks such as image editing.
• Unsupervised Part Discovery from Contrastive Reconstruction
  11 Nov 2021 1 repository listed
  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.
• LatentKeypointGAN: Controlling Images via Latent Keypoints
  29 Mar 2021 1 repository listed
  Generative adversarial networks (GANs) have attained photo-realistic quality in image generation.
• SCOPS: Self-Supervised Co-Part Segmentation
  3 May 2019 1 repository listed
  Parts provide a good intermediate representation of objects that is robust with respect to the camera, pose and appearance variations.
• Unsupervised Discovery of Object Landmarks as Structural Representations
  12 Apr 2018 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Deep neural networks can model images with rich latent representations, but they cannot naturally conceptualize structures of object categories in a human-perceptible way.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.