Category-Agnostic Pose Estimation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

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

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

11 shown of 11 papers with code (15 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.

• Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  9 Mar 2017 85 repositories listed Syntology ran 86 of 154 samples · 68 unverified · 57 pointer-only (licence)
  We propose an algorithm for meta-learning that is model-agnostic, in the sense that it is compatible with any model trained with gradient descent and applicable to a variety of different learning problems, including…
• Prototypical Networks for Few-shot Learning
  15 Mar 2017 43 repositories listed Syntology ran 49 of 64 samples · 15 unverified · 18 pointer-only (licence)
  We propose prototypical networks for the problem of few-shot classification, where a classifier must generalize to new classes not seen in the training set, given only a small number of examples of each new class.
• A Graph-Based Approach for Category-Agnostic Pose Estimation
  29 Nov 2023 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Traditional 2D pose estimation models are limited by their category-specific design, making them suitable only for predefined object categories.
• Recurrent Feature Mining and Keypoint Mixup Padding for Category-Agnostic Pose Estimation
  27 Mar 2025 1 repository listed
  Hence, these works neglect to mine fine-grained and structure-aware (FGSA) features from both support and query images, which are crucial for pixel-level keypoint localization.
• Edge Weight Prediction For Category-Agnostic Pose Estimation
  25 Nov 2024 1 repository listed
  Category-Agnostic Pose Estimation (CAPE) localizes keypoints across diverse object categories with a single model, using one or a few annotated support images.
• SCAPE: A Simple and Strong Category-Agnostic Pose Estimator
  18 Jul 2024 1 repository listed Syntology ran 4 of 7 samples · 3 unverified · 7 pointer-only (licence)
  Therefore we first streamline the architecture into a simple baseline consisting of several pure self-attention layers and an MLP regression head -- this simplification means that one only needs to consider the…
• CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation
  1 Jun 2024 1 repository listed
  We validate our novel approach using the MP-100 benchmark, a comprehensive dataset spanning over 100 categories and 18, 000 images.
• Meta-Point Learning and Refining for Category-Agnostic Pose Estimation
  20 Mar 2024 1 repository listed Syntology ran 1 of 3 samples · 2 unverified
  Existing methods only rely on the features extracted at support keypoints to predict or refine the keypoints on query image, but a few support feature vectors are local and inadequate for CAPE.
• ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation
  1 Jan 2024 1 repository listed
  For the first step we propose a learnable matching network to capture the relationship between the novel keypoints and the super-keypoints resulting in a more reliable matching.
• Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation
  1 Jan 2023 1 repository listed
  To calibrate the inaccurate matching results, we introduce a two-stage framework, where matched keypoints from the first stage are viewed as similarity-aware position proposals.
• Pose for Everything: Towards Category-Agnostic Pose Estimation
  21 Jul 2022 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  In this paper, we introduce the task of Category-Agnostic Pose Estimation (CAPE), which aims to create a pose estimation model capable of detecting the pose of any class of object given only a few samples with keypoint…

Syntology lines on 6 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.