Unifying training and inference for panoptic segmentation
We present an end-to-end network to bridge the gap between training and inference pipeline for panoptic segmentation, a task that seeks to partition an image into semantic regions for "stuff" and object instances for "things". In contrast to recent works, our network exploits a p...
| Egile Nagusiak: | , , |
|---|---|
| Formatua: | Conference item |
| Hizkuntza: | English |
| Argitaratua: |
Institute of Electrical and Electronics Engineers
2020
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