| _ | amodal | _ |
|---|
| 2D | amodal | Instance Segmentation Guided by 3D Shape Prior |
| amodal | Completion and Size Constancy in Natural Scenes |
| amodal | Detection of 3D Objects: Inferring 3D Bounding Boxes from 2D Ones in RGB-Depth Images |
| amodal | Instance Segmentation |
| amodal | Instance Segmentation With KINS Dataset |
| amodal | Panoptic Segmentation |
| amodal | Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model |
| amodal | volume completion: 3D visual completion |
| Coarse-to-Fine | amodal | Segmentation with Shape Prior |
| Computational Model for | amodal | Completion, A |
| Deep Sliding Shapes for | amodal | 3D Object Detection in RGB-D Images |
| Embodied | amodal | Recognition: Learning to Move to Perceive Objects |
| GIN: Generative INvariant Shape Prior for | amodal | Instance Segmentation |
| Image | amodal | completion: A survey |
| Joint Prediction of | amodal | and Visible Semantic Segmentation for Automated Driving |
| Layered Embeddings for | amodal | Instance Segmentation |
| Learning to See the Invisible: End-to-End Trainable | amodal | Instance Segmentation |
| Mono Lay out: | amodal | scene layout from a single image |
| MUVA: A New Large-Scale Benchmark for Multi-view | amodal | Instance Segmentation in the Shopping Scenario |
| Rethinking | amodal | Video Segmentation from Learning Supervised Signals with Object-centric Representation |
| SAIL-VOS: Semantic | amodal | Instance Level Video Object Segmentation: A Synthetic Dataset and Baselines |
| Seeing the Un-scene: Learning | amodal | Semantic Maps for Room Navigation |
| Semantic | amodal | Segmentation |
| Unsupervised Cross-Dataset Adaptation via Probabilistic | amodal | 3D Human Pose Completion |
| WALT: Watch And Learn 2D | amodal | representation from Time-lapse imagery |
| Weakly Supervised | amodal | Segmenter with Boundary Uncertainty Estimation, A |
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