Research map / Detection and segmentation / CNN features
Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use difficulty-aware cascading with threshold ρ=0.985 instead of the IRNet baseline | IRNet · VOC12 val | mIoU: 72.22 -> 73.91 | Helped |
| Add full-image deep supervision at each stage (ablation) | IRNet · VOC12 val | mIoU: 72.22 -> 72.70 | Helped |
| Add random label dropout to DSN stages (ablation) | DSN · VOC12 val | mIoU: 72.70 -> 72.63 | No clear effect |
| Train cascade stages separately while freezing earlier stages (ablation) | IRNet cascade · VOC12 val | mIoU: 72.22 -> 44.20 | Hurt |
| Set probability threshold ρ=0.985 rather than ρ=1 (ablation) | IRNet-LC · VOC12 val | mIoU: 72.70 -> 73.91 | Helped |
| Lower threshold from ρ=0.985 to ρ=0.800, allowing more early-stage decisions (ablation) | IRNet-LC · VOC12 val | mIoU: 73.91 -> 66.95 | Hurt |
| Lower threshold from ρ=0.985 to ρ=0.800 (ablation) | IRNet-LC · VOC12 val | FPS: 14.7 -> 23.6 | Helped |
| Use LC instead of DeepLab-v2 | VOC12 val · VOC12 val | mIoU: 70.42 -> 73.91 | Helped |
| Use LC instead of DeepLab-v2 | VOC12 val · VOC12 val | FPS: 7.1 -> 14.7 | Helped |
| Add multi-scale testing (ablation) | IRNet-LC · VOC12 test | mIoU: 78.2 -> 79.5 | Helped |
| Add CRF alongside multi-scale testing (ablation) | IRNet-LC · VOC12 test | mIoU: 79.5 -> 80.3 | Helped |
| Pre-train LC on COCO | IRNet-LC · VOC12 test | mIoU: 80.3 -> 82.7 | Helped |
Closest papers by meaning
- Instance-Aware Semantic Segmentation via Multi-Task Network Cascades (CVPR 2016 · similarity 0.92)
- Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation (CVPR 2016 · similarity 0.88)
- FasterSeg: Searching for Faster Real-time Semantic Segmentation (ICLR 2020 · similarity 0.88)
- Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation (NeurIPS 2025 · similarity 0.86)
- Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models (CVPR 2024 · similarity 0.86)
- Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation (ICML 2024 · similarity 0.86)
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