Research map / Detection and segmentation / Open-set and few-shot detection
Cross-View Regularization for Domain Adaptive Panoptic Segmentation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add multi-task self-training to source-only training (ablation) | PSN · SYNTHIA → Cityscapes | mPQ: 21.8 -> 24.8 | Helped |
| add inter-task regularization to MTST (ablation) | CVRN · SYNTHIA → Cityscapes | mPQ: 24.8 -> 28.0 | Helped |
| add inter-style regularization to MTST (ablation) | CVRN · SYNTHIA → Cityscapes | mPQ: 24.8 -> 28.9 | Helped |
| combine inter-task and inter-style regularization (ablation) | MTST · SYNTHIA → Cityscapes | mPQ: 28.9 -> 32.1 | Helped |
| apply cross-view regularization | domain-adaptive panoptic segmentation · SYNTHIA → Cityscapes | mPQ: 26.6 -> 30.9; +3.3 | Helped |
| apply cross-view regularization | domain-adaptive panoptic segmentation · SYNTHIA → Cityscapes | mPQ: 28.1 -> 32.0; +3.9 | Helped |
| apply cross-view regularization | domain-adaptive panoptic segmentation · SYNTHIA → Cityscapes | mPQ: 27.1 -> 32.4; +5.3 | Helped |
Closest papers by meaning
- Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation (AAAI 2021 · similarity 0.90)
- Seeing Beyond: Extrapolative Domain Adaptive Panoramic Segmentation (CVPR 2026 · similarity 0.88)
- UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration (CVPR 2023 · similarity 0.88)
- Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation (NeurIPS 2020 · similarity 0.88)
- PanopticDepth: A Unified Framework for Depth-Aware Panoptic Segmentation (CVPR 2022 · similarity 0.87)
- Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach (NeurIPS 2021 · similarity 0.87)
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