Weakly-supervised panoptic segmentation
3 papers with code • 0 benchmarks • 0 datasets
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Most implemented papers
Weakly- and Semi-Supervised Panoptic Segmentation
We present a weakly supervised model that jointly performs both semantic- and instance-segmentation -- a particularly relevant problem given the substantial cost of obtaining pixel-perfect annotation for these tasks.
Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision
dvlab-research/panopticfcn
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In particular, Panoptic FCN encodes each object instance or stuff category with the proposed kernel generator and produces the prediction by convolving the high-resolution feature directly.
Pointly-Supervised Panoptic Segmentation
bravegroup/psps
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In this paper, we propose a new approach to applying point-level annotations for weakly-supervised panoptic segmentation.
