Weakly Supervised Marine Animal Detection from Remote Sensing Images Using Vector-Quantized Variational Autoencoder
Author:
Affiliation:
1. Université Bretagne Sud, UMR IRISA 6074,Vannes,France,56000
Funder
Agence de la transition écologique
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282672.pdf?arnumber=10282672
Reference13 articles.
1. Self-supervised training with autoencoders for visual anomaly detection;bauer,2022
2. Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives
3. Neural discrete representation learning;van den oord;NeurIPS,2017
4. MORPHOLOGICAL QUANTIFICATION OF AORTIC CALCIFICATION FROM LOW MAGNIFICATION IMAGES
5. Automating Marine Mammal Detection in Aerial Images Captured During Wildlife Surveys: A Deep Learning Approach
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1. A review of deep learning techniques for detecting animals in aerial and satellite images;International Journal of Applied Earth Observation and Geoinformation;2024-04
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