Research map / Detection and segmentation / Open-set and few-shot detection
Anti-Aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use ASR instead of PFENet | few-shot segmentation with ResNet50 on COCO-20ᶦ 1-shot · COCO-20ᶦ 1-shot | mIoU: 30.58 -> 32.56 | Helped |
| Use ASR instead of DAN | few-shot segmentation on COCO-20ᶦ 5-shot · COCO-20ᶦ 5-shot | mIoU: 29.60 -> 34.35 | Helped |
| Use ASR instead of PPNet | two-way one-shot segmentation on Pascal-5ᶦ · Pascal-5ᶦ 2-way 1-shot | mIoU: 51.65 -> 53.13 | Helped |
| Add semantic reconstruction without semantic span or filtering (ablation) | CANet baseline · Ablation setting | mIoU: 54.95 -> 53.26 | Hurt |
| Add semantic filtering without reconstruction or semantic span (ablation) | CANet baseline · Ablation setting | mIoU: 54.95 -> 53.12 | Hurt |
| Add semantic span to semantic reconstruction (ablation) | CANet with semantic reconstruction · Ablation setting | mIoU: 53.26 -> 55.98 | Helped |
| Add semantic filtering to reconstruction plus semantic span (ablation) | CANet with semantic reconstruction and semantic span · Ablation setting | mIoU: 55.98 -> 58.64 | Helped |
| Use vector projection rather than concatenation for semantic filtering (ablation) | ASR semantic filtering · Semantic filtering strategies | mIoU: 58.21 -> 58.64 | Helped |
| Use vector projection rather than cosine similarity for semantic filtering (ablation) | ASR semantic filtering · Semantic filtering strategies | mIoU: 57.78 -> 58.64 | Helped |
| Use vector projection rather than convolution for semantic filtering (ablation) | ASR semantic filtering · Semantic filtering strategies | mIoU: 58.32 -> 58.64 | Helped |
| Increase basis-vector channel number D (ablation) | ASR · Few-shot segmentation | mIoU | Helped |
Closest papers by meaning
- A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation (NeurIPS 2024 · similarity 0.90)
- Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors (CVPR 2024 · similarity 0.90)
- Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training (AAAI 2024 · similarity 0.88)
- Simple Semantic-Aided Few-Shot Learning (CVPR 2024 · similarity 0.88)
- Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer (AAAI 2025 · similarity 0.88)
- Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation (ICML 2024 · similarity 0.87)
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