4.7 Article

TagLab: AI-assisted annotation for the fast and accurate semantic segmentation of coral reef orthoimages

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Proceedings Paper Computer Science, Artificial Intelligence

REVIVING ITERATIVE TRAINING WITH MASK GUIDANCE FOR INTERACTIVE SEGMENTATION

Konstantin Sofiiuk et al.

Summary: Recent research on click-based interactive segmentation has achieved state-of-the-art results without the need for additional optimization schemes. A simple feedforward model has been proposed for interactive segmentation, allowing segmentation of new objects and correction of existing masks. The choice of training dataset significantly impacts the quality of interactive segmentation.

2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP (2022)

Article Environmental Sciences

Repeatable Semantic Reef-Mapping through Photogrammetry and Label-Augmentation

Matan Yuval et al.

Summary: Automated, high-throughput frameworks are urgently needed for studying natural systems at multiple resolutions. The combination of remote sensing, computer vision, and deep learning has opened up new possibilities in ecological research. Full semantic segmentation of photomosaics is a challenging task, but using label-augmentation can accelerate this process and achieve human-level accuracy in benthic habitat analysis.

REMOTE SENSING (2021)

Article Ecology

Urgent need for coral demography in a world where corals are disappearing

Peter J. Edmunds et al.

MARINE ECOLOGY PROGRESS SERIES (2020)

Article Robotics

CoralSeg: Learning coral segmentation from sparse annotations

Inigo Alonso et al.

JOURNAL OF FIELD ROBOTICS (2019)

Proceedings Paper Computer Science, Artificial Intelligence

Deep Extreme Cut: From Extreme Points to Object Segmentation

K. -K. Maninis et al.

2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Annotating Object Instances with a Polygon-RNN

Lluis Castrejon et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Article Environmental Sciences

BUGLE 2.0-Browsing and Annotating Large Marine Image Collections

Daniel Langenkaemper et al.

FRONTIERS IN MARINE SCIENCE (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Simple Does It: Weakly Supervised Instance and Semantic Segmentation

Anna Khoreva et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Mask R-CNN

Kaiming He et al.

2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)

Review Environmental Sciences

RecoMIA-Recommendations for Marine Image Annotation: Lessons Learned and Future Directions

Timm Schoening et al.

FRONTIERS IN MARINE SCIENCE (2016)

Proceedings Paper Computer Science, Artificial Intelligence

Boosting Object Proposals: From Pascal to COCO

Jordi Pont-Tuset et al.

2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Fast R-CNN

Ross Girshick

2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)

Article Computer Science, Software Engineering

GrabCut - Interactive foreground extraction using iterated graph cuts

C Rother et al.

ACM TRANSACTIONS ON GRAPHICS (2004)