Self-Supervised Scribble-based Segmentation of Single Cells in Biofilms
Author:
Affiliation:
1. Computer Science University of Nebraska,Omaha
2. South Dakota School of Mines & Technology,Civil & Environmental Engineering
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385729.pdf?arnumber=10385729
Reference39 articles.
1. Self-Supervised Representation Learning: Introduction, advances, and challenges
2. Towards demystifying representation learning with non-contrastive self-supervision;Wang,2021
3. Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model
4. BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation
5. Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach
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