Alzayat Saleh

Orcid: 0000-0001-6973-019X

According to our database1, Alzayat Saleh authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
How to track and segment fish without human annotations: a self-supervised deep learning approach.
Pattern Anal. Appl., March, 2024

Applications of deep learning in fish habitat monitoring: A tutorial and survey.
Expert Syst. Appl., March, 2024

ShadowRemovalNet: Efficient Real-Time Shadow Removal.
CoRR, 2024

Precise Robotic Weed Spot-Spraying for Reduced Herbicide Usage and Improved Environmental Outcomes - A Real-World Case Study.
CoRR, 2024

2023
WeedCLR: Weed Contrastive Learning through Visual Representations with Class-Optimized Loss in Long-Tailed Datasets.
CoRR, 2023

Prawn Morphometrics and Weight Estimation from Images using Deep Learning for Landmark Localization.
CoRR, 2023

2022
Adaptive Uncertainty Distribution in Deep Learning for Unsupervised Underwater Image Enhancement.
CoRR, 2022

A lightweight Transformer-based model for fish landmark detection.
CoRR, 2022

Unsupervised Fish Trajectory Tracking and Segmentation.
CoRR, 2022

Transformer-based Self-Supervised Fish Segmentation in Underwater Videos.
CoRR, 2022

Computer Vision and Deep Learning for Fish Classification in Underwater Habitats: A Survey.
CoRR, 2022

2021
A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images.
IEEE J. Biomed. Health Informatics, 2021

2020
Affinity LCFCN: Learning to Segment Fish with Weak Supervision.
CoRR, 2020

A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis.
CoRR, 2020

2019
Underwater Fish Detection with Weak Multi-Domain Supervision.
Proceedings of the International Joint Conference on Neural Networks, 2019

Automatic Weight Estimation of Harvested Fish from Images.
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019


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