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What is Mask Conver about?

The paper introduces MaskConver, a novel panoptic segmentation architecture that revisits pure convolution models, aiming to unify the representation of things and stuff by predicting their centers. MaskConver outperforms existing models, achieving significant improvements in panoptic quality (PQ) metrics on the COCO dataset, while maintaining efficiency in terms of FLOPs and latency. The architecture employs a ConvNeXt-UNet decoder and a lightweight class embedding module to enhance detection and segmentat

Author

carryhjr

Language

EN