mmpose/configs/body_2d_keypoint/associative_embedding/coco/hrnet_coco.yml

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YAML

Collections:
- Name: AE
Paper:
Title: "Associative embedding: End-to-end learning for joint detection and grouping"
URL: https://arxiv.org/abs/1611.05424
README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/algorithms/associative_embedding.md
Models:
- Config: configs/body_2d_keypoint/associative_embedding/coco/ae_hrnet-w32_8xb24-300e_coco-512x512.py
In Collection: AE
Metadata:
Architecture:
- AE
- HRNet
Training Data: COCO
Name: ae_hrnet-w32_8xb24-300e_coco-512x512
Results:
- Dataset: COCO
Metrics:
AP: 0.656
AP@0.5: 0.864
AP@0.75: 0.719
AR: 0.711
AR@0.5: 0.893
Task: Body 2D Keypoint
Weights: https://download.openmmlab.com/mmpose/bottom_up/hrnet_w32_coco_512x512-bcb8c247_20200816.pth