Category Agnostic Pose Estimation On Mp100
Metrics
Mean [email protected] - 1shot
Results
Performance results of various models on this benchmark
Model Name | Mean [email protected] - 1shot | Paper Title | Repository |
|---|---|---|---|
| POMNet | 79.70 | Pose for Everything: Towards Category-Agnostic Pose Estimation | - |
| ProtoNet | 44.78 | Prototypical Networks for Few-shot Learning | - |
| Finetune | 63.58 | Revisiting Fine-tuning for Few-shot Learning | - |
| MAML | 61.50 | Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks | - |
| CapeLLM | 92.60 | CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models | - |
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