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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

TitleStatusHype
ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose EstimationCode0
Dynamic Support Information Mining for Category-Agnostic Pose Estimation—0
Category-Agnostic Pose Estimation for Point Clouds—0
Revisiting Fine-tuning for Few-shot Learning—0
CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models—0
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