| PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation | Aug 19, 2022 | Deep LearningImage Segmentation | CodeCode Available | 2 | 5 |
| Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation | Apr 12, 2023 | channel selectionFederated Learning | CodeCode Available | 2 | 5 |
| Fixing Localization Errors to Improve Image Classification | Aug 1, 2020 | ClassificationGeneral Classification | 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 |
| Adaptive Early-Learning Correction for Segmentation from Noisy Annotations | Oct 7, 2021 | ClassificationMedical Image Segmentation | CodeCode Available | 1 | 5 |
| FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling | Dec 17, 2020 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 1 | 5 |
| 3D Spatial Recognition without Spatially Labeled 3D | May 13, 2021 | 3D Object DetectionMultiple Instance Learning | CodeCode Available | 1 | 5 |
| AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor | Jun 26, 2023 | Brain Tumor SegmentationSegmentation | CodeCode Available | 1 | 5 |
| Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision | Apr 14, 2020 | Weakly-supervised LearningWeakly supervised 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 |
