ReMaX: relaxing for better training on efficient panoptic segmentation
This paper presents a new mechanism to facilitate the training of mask transformers for efficient panoptic segmentation, democratizing its deployment. We observe that due to the high complexity in the training objective of panoptic segmentation, it will inevitably lead to much higher penalization on...
| Main Authors: | , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
NeurIPS
2023
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