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Category-Agnostic Pose Estimation

2D Pose Estimation › Category-Agnostic Pose Estimation 5 평가 기록 1 datasets

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.

논문

CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models

2411.06869 2024-11-11 이 페이지의 평가 1건

Mean PCK@0.2 - 1shot: 92.60

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

1703.03400 2017-03-09 이 페이지의 평가 1건

Mean PCK@0.2 - 1shot: 61.50

Pose for Everything: Towards Category-Agnostic Pose Estimation

2207.10387 2022-07-21 이 페이지의 평가 1건

Mean PCK@0.2 - 1shot: 79.70

Prototypical Networks for Few-shot Learning

1703.05175 2017-03-15 이 페이지의 평가 1건

Mean PCK@0.2 - 1shot: 44.78

Revisiting Fine-tuning for Few-shot Learning

1910.00216 2019-10-01 이 페이지의 평가 1건

Mean PCK@0.2 - 1shot: 63.58