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Category-Agnostic Pose Estimation

Category-Agnostic Pose Estimation (CAPE) aims to create a pose estimation model capable of detecting the pose of any class of object given only a few samples with keypoint definition.

Papers

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Showing 11–15 of 15 papers

Title	Date	Tasks	Status	Hype
Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation	Jan 1, 2023	2D Pose EstimationCategory-Agnostic Pose Estimation	CodeCode Available	1
Pose for Everything: Towards Category-Agnostic Pose Estimation	Jul 21, 2022	2D Pose EstimationCategory-Agnostic Pose Estimation	CodeCode Available	2
Revisiting Fine-tuning for Few-shot Learning	Oct 1, 2019	Category-Agnostic Pose EstimationFew-Shot Learning	—Unverified	0
Prototypical Networks for Few-shot Learning	Mar 15, 2017	Category-Agnostic Pose EstimationFew-Shot Image Classification	CodeCode Available	2
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	Mar 9, 2017	Category-Agnostic Pose EstimationFew-Shot Image Classification	CodeCode Available	1

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