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Weakly-supervised instance segmentation

4 papers with code · Computer Vision

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Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior

NeurIPS 2019 chengchunhsu/WSIS_BBTP

This paper presents a weakly supervised instance segmentation method that consumes training data with tight bounding box annotations.

INSTANCE SEGMENTATION MULTIPLE INSTANCE LEARNING SEMANTIC SEGMENTATION WEAKLY-SUPERVISED INSTANCE SEGMENTATION

36
01 Dec 2019

Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations

CVPR 2019 jiwoon-ahn/irn

For generating the pseudo labels, we first identify confident seed areas of object classes from attention maps of an image classification model, and propagate them to discover the entire instance areas with accurate boundaries.

IMAGE CLASSIFICATION INSTANCE SEGMENTATION WEAKLY-SUPERVISED INSTANCE SEGMENTATION WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

229
01 Jun 2019

Weakly- and Semi-Supervised Panoptic Segmentation

ECCV 2018 qizhuli/Weakly-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.

INSTANCE SEGMENTATION PANOPTIC SEGMENTATION WEAKLY-SUPERVISED INSTANCE SEGMENTATION WEAKLY-SUPERVISED PANOPTIC SEGMENTATION WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

140
10 Aug 2018