Papers Weakly-supervised panoptic segmentation
“Weakly-supervised panoptic segmentation” 태그가 달린 논문 4편 · 필터 해제
Pointly-Supervised Panoptic Segmentation
In this paper, we propose a new approach to applying point-level annotations for weakly-supervised panoptic segmentation. Instead of the dense pixel-level labels used by fully supervised methods, point-level labels only …
Panoptic SegmentationSegmentationSemantic SimilaritySemantic Textual Similarity+1Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision
In this paper, we present a conceptually simple, strong, and efficient framework for fully- and weakly-supervised panoptic segmentation, called Panoptic FCN. Our approach aims to represent and predict foreground things a…
Panoptic SegmentationSegmentationWeakly-supervised panoptic segmentationToward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation
Panoptic segmentation aims to partition an image to object instances and semantic content for thing and stuff categories, respectively. To date, learning weakly supervised panoptic segmentation (WSPS) with only image…
Instance SegmentationMultiple Instance LearningObjectobject-detection+6Weakly- 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. In …
Instance SegmentationPanoptic SegmentationSegmentationSemantic Segmentation+3