Semi-Supervised Segmentation for Coastal Monitoring Seagrass Using RPA Imagery
Intertidal seagrass plays a vital role in estimating the overall health and dynamics of coastal environments due to its interaction with tidal changes. However, most seagrass habitats around the globe have been in steady decline due to human impacts, disturbing the already delicate balance in the en...
| Published in: | Remote Sensing |
|---|---|
| Main Authors: | Brandon Hobley, Riccardo Arosio, Geoffrey French, Julie Bremner, Tony Dolphin, Michal Mackiewicz |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-04-01
|
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/9/1741 |
Similar Items
Crowdsourcing Experiment and Fully Convolutional Neural Networks for Coastal Remote Sensing of Seagrass and Macroalgae
by: Brandon Hobley, et al.
Published: (2023-01-01)
by: Brandon Hobley, et al.
Published: (2023-01-01)
CLASSIFICATION BASED ON SEMI-SUPERVISED LEARNING: A REVIEW
by: Aska Ezadeen Mehyadin, et al.
Published: (2021-05-01)
by: Aska Ezadeen Mehyadin, et al.
Published: (2021-05-01)
PC-Match: Semi-Supervised Learning With Progressive Contrastive and Consistency Regularization
by: Mikyung Kang, et al.
Published: (2025-01-01)
by: Mikyung Kang, et al.
Published: (2025-01-01)
LMGAN: Linguistically Informed Semi-Supervised GAN with Multiple Generators
by: Whanhee Cho, et al.
Published: (2022-11-01)
by: Whanhee Cho, et al.
Published: (2022-11-01)
Separated and Independent Contrastive Semi-Supervised Learning for Imbalanced Datasets
by: Dongyoung Kim, et al.
Published: (2025-01-01)
by: Dongyoung Kim, et al.
Published: (2025-01-01)
DRCO: Dense-Label Refinement and Cross Optimization for Semi-Supervised Object Detection
by: Yunlong Qin, et al.
Published: (2025-01-01)
by: Yunlong Qin, et al.
Published: (2025-01-01)
An in-depth exploration of supervised and semi-supervised learning on face recognition
by: Purnawansyah, et al.
Published: (2025-06-01)
by: Purnawansyah, et al.
Published: (2025-06-01)
InverseTime: A Self-Supervised Technique for Semi-Supervised Classification of Time Series
by: Manuel Alejandro Goyo, et al.
Published: (2024-01-01)
by: Manuel Alejandro Goyo, et al.
Published: (2024-01-01)
Dual-Training-Based Semi-Supervised Learning with Few Labels
by: Hao Wu, et al.
Published: (2024-06-01)
by: Hao Wu, et al.
Published: (2024-06-01)
Applying Efficient Selection Techniques of Unlabeled Instances for Wrapper-Based Semi-Supervised Methods
by: Cephas A. S. Barreto, et al.
Published: (2022-01-01)
by: Cephas A. S. Barreto, et al.
Published: (2022-01-01)
A Semi-Automatic Magnetic Resonance Imaging Annotation Algorithm Based on Semi-Weakly Supervised Learning
by: Shaolong Chen, et al.
Published: (2024-06-01)
by: Shaolong Chen, et al.
Published: (2024-06-01)
Self-Supervised Assisted Semi-Supervised Residual Network for Hyperspectral Image Classification
by: Liangliang Song, et al.
Published: (2022-06-01)
by: Liangliang Song, et al.
Published: (2022-06-01)
Shifting to machine supervision: annotation-efficient semi and self-supervised learning for automatic medical image segmentation and classification
by: Pranav Singh, et al.
Published: (2024-05-01)
by: Pranav Singh, et al.
Published: (2024-05-01)
Classification Uncertainty Minimization-based Semi-supervised Ensemble Learning Algorithm
by: HE Yulin, ZHU Penghui, HUANG Zhexue, Fournier-Viger PHILIPPE
Published: (2023-10-01)
by: HE Yulin, ZHU Penghui, HUANG Zhexue, Fournier-Viger PHILIPPE
Published: (2023-10-01)
A Semi-Supervised Extreme Learning Machine Algorithm Based on the New Weighted Kernel for Machine Smell
by: Wei Dang, et al.
Published: (2022-09-01)
by: Wei Dang, et al.
Published: (2022-09-01)
Meta-Semi: A Meta-Learning Approach for Semi-Supervised Learning
by: Yulin Wang, et al.
Published: (2022-12-01)
by: Yulin Wang, et al.
Published: (2022-12-01)
A Novel Perturbation Consistency Framework in Semi-Supervised Medical Image Segmentation
by: Xiaoxuan Ma, et al.
Published: (2024-09-01)
by: Xiaoxuan Ma, et al.
Published: (2024-09-01)
Survey of Multi-label Classification Based on Supervised and Semi-supervised Learning
by: WU Hong-xin, HAN Meng, CHEN Zhi-qiang, ZHANG Xi-long, LI Mu-hang
Published: (2022-08-01)
by: WU Hong-xin, HAN Meng, CHEN Zhi-qiang, ZHANG Xi-long, LI Mu-hang
Published: (2022-08-01)
Semi-Supervised Learning for Intrusion Detection in Large Computer Networks
by: Brandon Williams, et al.
Published: (2025-05-01)
by: Brandon Williams, et al.
Published: (2025-05-01)
SemiPolypSeg: Leveraging Cross-Pseudo Supervision and Contrastive Learning for Semi-Supervised Polyp Segmentation
by: Ping Guo, et al.
Published: (2024-09-01)
by: Ping Guo, et al.
Published: (2024-09-01)
Semi-Supervised Training for Positioning of Welding Seams
by: Wenbin Zhang, et al.
Published: (2021-11-01)
by: Wenbin Zhang, et al.
Published: (2021-11-01)
Semi-Supervised Learning for Defect Segmentation with Autoencoder Auxiliary Module
by: Bee-ing Sae-ang, et al.
Published: (2022-04-01)
by: Bee-ing Sae-ang, et al.
Published: (2022-04-01)
High-Rankness Regularized Semi-Supervised Deep Metric Learning for Remote Sensing Imagery
by: Jian Kang, et al.
Published: (2020-08-01)
by: Jian Kang, et al.
Published: (2020-08-01)
The Effectiveness of Semi-Supervised Learning Techniques in Identifying Calcifications in X-ray Mammography and the Impact of Different Classification Probabilities
by: Miu Sakaida, et al.
Published: (2024-07-01)
by: Miu Sakaida, et al.
Published: (2024-07-01)
Semi-supervised Object Detection with Sequential Three-way Decision
by: SONG Faxing, MIAO Duoqian, ZHANG Hongyun
Published: (2023-10-01)
by: SONG Faxing, MIAO Duoqian, ZHANG Hongyun
Published: (2023-10-01)
Study on Human Activity Recognition Using Semi-Supervised Active Transfer Learning
by: Seungmin Oh, et al.
Published: (2021-04-01)
by: Seungmin Oh, et al.
Published: (2021-04-01)
Collaborative Wheat Lodging Segmentation Semi-Supervised Learning Model Based on RSE-BiSeNet Using UAV Imagery
by: Hongbo Zhi, et al.
Published: (2023-11-01)
by: Hongbo Zhi, et al.
Published: (2023-11-01)
An intra- and inter-class context and consistency network for supervised and semi-supervised blastocyst segmentation
by: Hua Wang, et al.
Published: (2025-10-01)
by: Hua Wang, et al.
Published: (2025-10-01)
UKSSL: Underlying Knowledge Based Semi-Supervised Learning for Medical Image Classification
by: Zeyu Ren, et al.
Published: (2024-01-01)
by: Zeyu Ren, et al.
Published: (2024-01-01)
Investigation of semi- and self-supervised learning methods in the histopathological domain
by: Benjamin Voigt, et al.
Published: (2023-01-01)
by: Benjamin Voigt, et al.
Published: (2023-01-01)
Rethinking Pseudo-Labeling for Semi-Supervised Facial Expression Recognition With Contrastive Self-Supervised Learning
by: Bei Fang, et al.
Published: (2023-01-01)
by: Bei Fang, et al.
Published: (2023-01-01)
Safeguards-related event detection in surveillance video using semi-supervised learning approach
by: Se-Hwan Park, et al.
Published: (2025-02-01)
by: Se-Hwan Park, et al.
Published: (2025-02-01)
Exploring Beyond Logits: Hierarchical Dynamic Labeling Based on Embeddings for Semi-Supervised Classification
by: Jiayi Chen, et al.
Published: (2025-01-01)
by: Jiayi Chen, et al.
Published: (2025-01-01)
Enhancing Sentiment and Emotion Classification with LSTM-Based Semi-Supervised Learning
by: Rochmat Husaini, et al.
Published: (2025-06-01)
by: Rochmat Husaini, et al.
Published: (2025-06-01)
Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples
by: Min Gu Kwak, et al.
Published: (2025-01-01)
by: Min Gu Kwak, et al.
Published: (2025-01-01)
Unveiling Patterns: A Study on Semi-Supervised Classification of Strip Surface Defects
by: Yongfei Liu, et al.
Published: (2023-01-01)
by: Yongfei Liu, et al.
Published: (2023-01-01)
Polite Teacher: Semi-Supervised Instance Segmentation With Mutual Learning and Pseudo-Label Thresholding
by: Dominik Filipiak, et al.
Published: (2024-01-01)
by: Dominik Filipiak, et al.
Published: (2024-01-01)
Semi-Self-Supervised Domain Adaptation: Developing Deep Learning Models with Limited Annotated Data for Wheat Head Segmentation
by: Alireza Ghanbari, et al.
Published: (2024-06-01)
by: Alireza Ghanbari, et al.
Published: (2024-06-01)
Adding a teaching “assistant”: improving the quality of pseudo-labels for semi-supervised object detection
by: Fabián Fallas-Moya, et al.
Published: (2025-04-01)
by: Fabián Fallas-Moya, et al.
Published: (2025-04-01)
Survey on Implementations of Generative Adversarial Networks for Semi-Supervised Learning
by: Ali Reza Sajun, et al.
Published: (2022-02-01)
by: Ali Reza Sajun, et al.
Published: (2022-02-01)
Similar Items
-
Crowdsourcing Experiment and Fully Convolutional Neural Networks for Coastal Remote Sensing of Seagrass and Macroalgae
by: Brandon Hobley, et al.
Published: (2023-01-01) -
CLASSIFICATION BASED ON SEMI-SUPERVISED LEARNING: A REVIEW
by: Aska Ezadeen Mehyadin, et al.
Published: (2021-05-01) -
PC-Match: Semi-Supervised Learning With Progressive Contrastive and Consistency Regularization
by: Mikyung Kang, et al.
Published: (2025-01-01) -
LMGAN: Linguistically Informed Semi-Supervised GAN with Multiple Generators
by: Whanhee Cho, et al.
Published: (2022-11-01) -
Separated and Independent Contrastive Semi-Supervised Learning for Imbalanced Datasets
by: Dongyoung Kim, et al.
Published: (2025-01-01)
