Research map / Detection and segmentation / CNN features
Joint Multi-Person Pose Estimation and Semantic Part Segmentation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add part segment consistency features to pose assembly (ablation) | Our Model · PASCAL-Person-Part | mAP: 38.7 -> 39.2 | Helped |
| add part segment consistency features to pose assembly (ablation) | Our Model · PASCAL-Person-Part | ADK (%): 41.9 -> 40.7 | Helped |
| add estimated pose features to part segmentation (ablation) | Our model (ResNet-101) · PASCAL-Person-Part | mIOU (%): 62.66 -> 64.39 | Helped |
| add estimated pose features to part segmentation (ablation) | Our model (VGG-16) · PASCAL-Person-Part | mIOU (%): 56.50 -> 58.06 | Helped |
| add estimated pose features to part segmentation (ablation) | Our model (ResNet-101) · PASCAL-Person-Part, Size XS | mIOU (%): 40.4 -> 53.4 | Helped |
| use ResNet-101 instead of VGG-16 for Part FCN (ablation) | Our model with pose features · PASCAL-Person-Part | mIOU (%): 58.06 -> 64.39 | Helped |
| use one pose configuration per detection box instead of multiple (ablation) | FCRF pose inference · PASCAL-Person-Part | pose estimation results | No clear effect |
| perform refinement once rather than iteratively (ablation) | Joint pose estimation and part segmentation framework · PASCAL-Person-Part | overall performance | No clear effect |
Closest papers by meaning
- DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation (CVPR 2016 · similarity 0.90)
- End-To-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation (CVPR 2016 · similarity 0.89)
- Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer (CVPR 2018 · similarity 0.89)
- Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation (AAAI 2020 · similarity 0.88)
- Deep Dual Consecutive Network for Human Pose Estimation (CVPR 2021 · similarity 0.88)
- FCPose: Fully Convolutional Multi-Person Pose Estimation With Dynamic Instance-Aware Convolutions (CVPR 2021 · similarity 0.87)
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