Image Segmentation

1. Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation

2. Variance-insensitive and Target-preserving Mask Refinement for Interactive Image Segmentation

3. Weakly Supervised Semantic Segmentation via Alternate Self-Dual Teaching

4. Select, Purify and Exchange: A Multi-Source Unsupervised Domain Adaptation Method for Building Extraction

Accurately extracting buildings from aerial images has essential research significance for timely understanding human intervention on the land. The distribution discrepancies between diversified unlabeled remote sensing images (changes in imaging …

5. Reliable Mutual Distillation for Medical Image Segmentation under Imperfect Annotations

6. Gradient-Rebalanced Uncertainty Minimization for Cross-Site Adaptation of Medical Image Segmentation

7. Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation

8. Interactive Dual-Model Learning for Semi-supervised Medical Image Segmentation (in Chinese)

9. M3Net: A Multi-scale Multi-view Framework for Multi-phase Pancreas Segmentation Based on Cross-phase Non-local Attention

The complementation of arterial and venous phases visual information of CTs can help better distinguish the pancreas from its surrounding structures. However, the exploration of cross-phase contextual information is still under research in …

10. Meta Corrupted Pixels Mining for Medical Image Segmentation

Deep neural networks have achieved satisfactory performance in piles of medical image analysis tasks. However the training of deep neural network requires a large amount of samples with high-quality annotations. In medical image segmentation, it is …