TensorMask - A Foundation for Dense Object Segmentation

ICCV, pp. 2061-2069, 2019.

Cited by: 38|Bibtex|Views268|DOI:https://doi.org/10.1109/ICCV.2019.00215
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Other Links: dblp.uni-trier.de|arxiv.org

Abstract:

Sliding-window object detectors that generate bounding-box object predictions over a dense, regular grid have advanced rapidly and proven popular. In contrast, modern instance segmentation approaches are dominated by methods that first detect object bounding boxes, and then crop and segment these regions, as popularized by Mask R-CNN. I...More

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