| The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation | Mar 27, 2023 | Instance SegmentationSemantic Segmentation | CodeCode Available | 1 | 5 |
| BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning | May 12, 2018 | Autonomous DrivingDiversity | CodeCode Available | 1 | 5 |
| CenterMask : Real-Time Anchor-Free Instance Segmentation | Nov 15, 2019 | Instance SegmentationObject Detection | CodeCode Available | 1 | 5 |
| ContrastMask: Contrastive Learning to Segment Every Thing | Mar 18, 2022 | Instance SegmentationSegmentation | CodeCode Available | 1 | 5 |
| Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation | Jun 5, 2023 | Instance SegmentationMulti-Task Learning | CodeCode Available | 1 | 5 |
| Test-time Adaptation with Slot-Centric Models | Mar 21, 2022 | image-classificationImage Classification | CodeCode Available | 1 | 5 |
| Guided Distillation for Semi-Supervised Instance Segmentation | Aug 3, 2023 | Instance SegmentationSemantic Segmentation | CodeCode Available | 1 | 5 |
| Learning Saliency Propagation for Semi-Supervised Instance Segmentation | Jun 1, 2020 | Instance Segmentationobject-detection | CodeCode Available | 1 | 5 |
| Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance Segmentation? | Mar 25, 2022 | Instance SegmentationSegmentation | CodeCode Available | 1 | 5 |
| Pseudo-label Alignment for Semi-supervised Instance Segmentation | Aug 10, 2023 | Instance SegmentationPseudo Label | CodeCode Available | 1 | 5 |
