Synthesized Image Datasets: Towards an Annotation-Free Instance Segmentation Strategy

Henry O. Velesaca; Patricia L. Suárez; Darío Carpio; Ángel D. Sappa

doi:10.1007/978-3-030-90439-5_11

ScienceGate Book Chapters

BOOK-CHAPTER

Synthesized Image Datasets: Towards an Annotation-Free Instance Segmentation Strategy

Henry O. Velesaca Patricia L. Suárez Darío Carpio Ángel D. Sappa

Year: 2021 Lecture notes in computer science Pages: 131-143 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-90439-5_11

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Pipeline (software) Artificial intelligence Segmentation Intersection (aeronautics) Annotation Image segmentation Pattern recognition (psychology) Process (computing) Image (mathematics) Deep learning Machine learning

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.29

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Smart Agriculture and AI

Life Sciences → Agricultural and Biological Sciences → Plant Science

Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Identification and Quantification in Food

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Synthesized Image Datasets: Towards an Annotation-Free Instance Segmentation Strategy

Metrics

Citation History

Topics

Related Documents

Object Affinity Learning: Towards Annotation-Free Instance Segmentation

Image and video instance segmentation : towards better quality, robustness and annotation-efficiency

LeafGen: Structure-aware Leaf Image Generation for Annotation-free Leaf Instance Segmentation

A semi-automatic annotation method for instance segmentation datasets of industrial objects

Towards annotation-efficient segmentation via image-to-image translation