Category-Agnostic Pose Estimation
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Benchmarks
MP100
Most implemented
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Prototypical Networks for Few-shot Learning
A Graph-Based Approach for Category-Agnostic Pose Estimation
Recurrent Feature Mining and Keypoint Mixup Padding for Category-Agnostic Pose Estimation
Edge Weight Prediction For Category-Agnostic Pose Estimation
SCAPE: A Simple and Strong Category-Agnostic Pose Estimator
Papers
GenCape: Structure-Inductive Generative Modeling for Category-Agnostic Pose Estimation
Category-agnostic pose estimation (CAPE) aims to localize keypoints on query images from arbitrary categories, using only a few annotated support examples for guidance. Recent approaches either treat keypoints as isolate…
Category-Agnostic Pose EstimationCapeNext: Rethinking and Refining Dynamic Support Information for Category-Agnostic Pose Estimation
Recent research in Category-Agnostic Pose Estimation (CAPE) has adopted fixed textual keypoint description as semantic prior for two-stage pose matching frameworks. While this paradigm enhances robustness and flexibility…
Category-Agnostic Pose EstimationDynaPose4D: High-Quality 4D Dynamic Content Generation via Pose Alignment Loss
Recent advancements in 2D and 3D generative models have expanded the capabilities of computer vision. However, generating high-quality 4D dynamic content from a single static image remains a significant challenge. Tradit…
Category-Agnostic Pose EstimationRecurrent Feature Mining and Keypoint Mixup Padding for Category-Agnostic Pose Estimation
Category-agnostic pose estimation aims to locate keypoints on query images according to a few annotated support images for arbitrary novel classes. Existing methods generally extract support features via heatmap pooling,…
Category-Agnostic Pose EstimationPose EstimationEdge Weight Prediction For Category-Agnostic Pose Estimation
Category-Agnostic Pose Estimation (CAPE) localizes keypoints across diverse object categories with a single model, using one or a few annotated support images. Recent works have shown that using a pose graph (i.e., treat…
2D Pose EstimationAnimal Pose EstimationCar Pose EstimationCategory-Agnostic Pose Estimation+3CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models
Category-agnostic pose estimation (CAPE) has traditionally relied on support images with annotated keypoints, a process that is often cumbersome and may fail to fully capture the necessary correspondences across diverse …
2D Pose EstimationCategory-Agnostic Pose EstimationLanguage ModelingLanguage Modelling+4