Category Agnostic Pose Estimation On Mp100

Metrics

Mean [email protected] - 1shot

Results

Performance results of various models on this benchmark

		Paper Title
CapeLLM	92.60	CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models
POMNet	79.70	Pose for Everything: Towards Category-Agnostic Pose Estimation
Finetune	63.58	Revisiting Fine-tuning for Few-shot Learning
MAML	61.50	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
ProtoNet	44.78	Prototypical Networks for Few-shot Learning

0 of 5 row(s) selected.

Category Agnostic Pose Estimation On Mp100

Metrics

Mean [email protected] - 1shot

Results

Performance results of various models on this benchmark

		Paper Title
CapeLLM	92.60	CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models
POMNet	79.70	Pose for Everything: Towards Category-Agnostic Pose Estimation
Finetune	63.58	Revisiting Fine-tuning for Few-shot Learning
MAML	61.50	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
ProtoNet	44.78	Prototypical Networks for Few-shot Learning

0 of 5 row(s) selected.