DJW cdece0b32a 第一次提交 10 mēneši atpakaļ
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animalpose cdece0b32a 第一次提交 10 mēneši atpakaļ
ap10k cdece0b32a 第一次提交 10 mēneši atpakaļ
locust cdece0b32a 第一次提交 10 mēneši atpakaļ
zebra cdece0b32a 第一次提交 10 mēneši atpakaļ
README.md cdece0b32a 第一次提交 10 mēneši atpakaļ

README.md

Top-down heatmap-based pose estimation

Top-down methods divide the task into two stages: object detection, followed by single-object pose estimation given object bounding boxes Instead of estimating keypoint coordinates directly, the pose estimator will produce heatmaps which represent the likelihood of being a keypoint, following the paradigm introduced in Simple Baselines for Human Pose Estimation and Tracking.

Results and Models

Animal-Pose Dataset

Results on AnimalPose validation set (1117 instances)

Model Input Size AP AR Details and Download
HRNet-w32 256x256 0.740 0.780 hrnet_animalpose.md
HRNet-w48 256x256 0.738 0.778 hrnet_animalpose.md
ResNet-152 256x256 0.704 0.748 resnet_animalpose.md
ResNet-101 256x256 0.696 0.736 resnet_animalpose.md
ResNet-50 256x256 0.691 0.736 resnet_animalpose.md

AP-10K Dataset

Results on AP-10K validation set

Model Input Size AP Details and Download
HRNet-w48 256x256 0.728 hrnet_ap10k.md
HRNet-w32 256x256 0.722 hrnet_ap10k.md
ResNet-101 256x256 0.681 resnet_ap10k.md
ResNet-50 256x256 0.680 resnet_ap10k.md
CSPNeXt-m 256x256 0.703 cspnext_udp_ap10k.md

Desert Locust Dataset

Results on Desert Locust test set

Model Input Size AUC EPE Details and Download
ResNet-152 160x160 0.925 1.49 resnet_locust.md
ResNet-101 160x160 0.907 2.03 resnet_locust.md
ResNet-50 160x160 0.900 2.27 resnet_locust.md

Grévy’s Zebra Dataset

Results on Grévy’s Zebra test set

Model Input Size AUC EPE Details and Download
ResNet-152 160x160 0.921 1.67 resnet_zebra.md
ResNet-101 160x160 0.915 1.83 resnet_zebra.md
ResNet-50 160x160 0.914 1.87 resnet_zebra.md