| Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images | May 12, 2022 | image-classificationImage Classification | CodeCode Available | 1 | 5 |
| Group-Wise Learning for Weakly Supervised Semantic Segmentation | Dec 1, 2021 | Graph Neural NetworkObject Localization | CodeCode Available | 1 | 5 |
| Adaptive Early-Learning Correction for Segmentation from Noisy Annotations | Oct 7, 2021 | ClassificationMedical Image Segmentation | CodeCode Available | 1 | 5 |
| Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation | Jan 31, 2022 | SegmentationSemantic Segmentation | CodeCode Available | 1 | 5 |
| BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation | Mar 16, 2021 | Box-supervised Instance SegmentationInstance Segmentation | CodeCode Available | 1 | 5 |
| Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation | Aug 17, 2021 | DiversityImage Segmentation | CodeCode Available | 1 | 5 |
| Label-efficient Segmentation via Affinity Propagation | Oct 16, 2023 | Box-supervised Instance SegmentationInstance Segmentation | CodeCode Available | 1 | 5 |
| ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical Image Segmentation | Jan 25, 2024 | AnatomyImage Segmentation | CodeCode Available | 1 | 5 |
| Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty | Nov 14, 2020 | General ClassificationWeakly-supervised Learning | CodeCode Available | 1 | 5 |
| Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation | Oct 31, 2022 | Self-Supervised LearningSemantic Segmentation | CodeCode Available | 1 | 5 |
