Instance Segmentation
Instance Segmentation is a computer vision task that involves identifying and separating individual objects within an image, including detecting the boundaries of each object and assigning a unique label to each object. The goal of instance segmentation is to produce a pixel-wise segmentation map of the image, where each pixel is assigned to a specific object instance.
Image Credit: Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers, CVPR'21
Papers
Showing 1–10 of 2262 papers
All datasetsCOCO test-devCOCO minivalLVIS v1.0 valCityscapes valADE20K valARMBenchOccluded COCOOoDISSeparated COCOTBBRBDD100K valCOCO val (panoptic labels)
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | UGainS | AP | 25.19 | — | Unverified |
| 2 | Mask2Anomaly | AP | 13.73 | — | Unverified |
| 3 | UGainS | AP | 11.14 | — | Unverified |
| 4 | Mask2Anomaly | AP | 1.24 | — | Unverified |
| 5 | U3HS | AP | 0.18 | — | Unverified |
| 6 | U3HS | AP | 0.16 | — | Unverified |