Research map / Detection and segmentation / Open-set and few-shot detection
Progressive Cognitive Human Parsing
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add progressive cognitive structure (CAR-Conv hierarchy) to PSPNet-50 (ablation) | PSPNet-50 · PASCAL-Person-Part val | mIoU (%): 56.66 -> 61.31 | Helped |
| add progressive cognitive structure (CAR-Conv hierarchy) to PSPNet-101 (ablation) | PSPNet-101 · PASCAL-Person-Part val | mIoU (%): 60.30 -> 65.90 | Helped |
| add extra plain layers to match depth (control for depth) (ablation) | PSPNet-50 · PASCAL-Person-Part val | mIoU (%): 56.66 -> 57.29 | Helped |
| add extra plain layers to match depth (control for depth) (ablation) | PSPNet-101 · PASCAL-Person-Part val | mIoU (%): 60.30 -> 60.58 | Helped |
| progressive cognitive structure instead of equal-depth plain layers (ablation) | PSPNet-50 backbone · PASCAL-Person-Part val | mIoU (%): 57.29 -> 61.31 | Helped |
| progressive cognitive structure instead of equal-depth plain layers (ablation) | PSPNet-101 backbone · PASCAL-Person-Part val | mIoU (%): 60.58 -> 65.90 | Helped |
| PCNet-126 versus Joint (uses extra data and pose) | human parsing · PASCAL-Person-Part val | mIoU (%): 64.39 -> 65.90 | Helped |
Closest papers by meaning
- Part-Aware Context Network for Human Parsing (CVPR 2020 · similarity 0.90)
- Hierarchical Human Parsing With Typed Part-Relation Reasoning (CVPR 2020 · similarity 0.89)
- CDGNet: Class Distribution Guided Network for Human Parsing (CVPR 2022 · similarity 0.88)
- Graphonomy: Universal Human Parsing via Graph Transfer Learning (CVPR 2019 · similarity 0.88)
- Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features (AAAI 2016 · similarity 0.88)
- Look Into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing (CVPR 2017 · similarity 0.87)
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