mmpose/configs/body_2d_keypoint/topdown_heatmap/coco/vipnas_coco.yml

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1.4 KiB
YAML

Collections:
- Name: ViPNAS
Paper:
Title: 'ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search'
URL: https://arxiv.org/abs/2105.10154
README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/backbones/vipnas.md
Models:
- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_vipnas-mbv3_8xb64-210e_coco-256x192.py
In Collection: ViPNAS
Metadata:
Architecture: &id001
- ViPNAS
Training Data: COCO
Name: td-hm_vipnas-mbv3_8xb64-210e_coco-256x192
Results:
- Dataset: COCO
Metrics:
AP: 0.7
AP@0.5: 0.887
AP@0.75: 0.783
AR: 0.758
AR@0.5: 0.929
Task: Body 2D Keypoint
Weights: (https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_vipnas-mbv3_8xb64-210e_coco-256x192-e0987441_20221010.pth
- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_vipnas-res50_8xb64-210e_coco-256x192.py
In Collection: ViPNAS
Metadata:
Architecture: *id001
Training Data: COCO
Name: td-hm_vipnas-res50_8xb64-210e_coco-256x192
Results:
- Dataset: COCO
Metrics:
AP: 0.711
AP@0.5: 0.894
AP@0.75: 0.787
AR: 0.769
AR@0.5: 0.934
Task: Body 2D Keypoint
Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_vipnas-res50_8xb64-210e_coco-256x192-35d4bff9_20220917.pth