Weakly-supervised instance segmentation

4 papers with code • 1 benchmarks • 1 datasets

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Greatest papers with code

Weakly- and Semi-Supervised Panoptic Segmentation

qizhuli/Weakly-Supervised-Panoptic-Segmentation ECCV 2018

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 +3

Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior

chengchunhsu/WSIS_BBTP NeurIPS 2019

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

Instance Segmentation Multiple Instance Learning +2

Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation

yun-liu/LIID 10 Sep 2020

For each proposal, this MIL framework can simultaneously compute probability distributions and category-aware semantic features, with which we can formulate a large undirected graph.

Instance Segmentation Multiple Instance Learning +2