A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis von Saleh, Alzayat, Laradji, Issam H., Konovalov, Dmitry A., Bradley, Michael, Vazquez, David, Sheaves, Marcus

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Computer vision and deep learning for fish classification in underwater habitats: A survey von Saleh, Alzayat, Sheaves, Marcus, Rahimi Azghadi, Mostafa

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Weakly supervised underwater fish segmentation using affinity LCFCN von Laradji, Issam H., Saleh, Alzayat, Rodriguez, Pau, Nowrouzezahrai, Derek, Azghadi, Mostafa Rahimi, Vazquez, David

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A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images von Saleh, Alzayat, Laradji, Issam H., Lammie, Corey, Vazquez, David, Flavell, Carol A, Azghadi, Mostafa Rahimi

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How to track and segment fish without human annotations: a self-supervised deep learning approach von Saleh, Alzayat, Sheaves, Marcus, Jerry, Dean, Rahimi Azghadi, Mostafa

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Applications of deep learning in fish habitat monitoring: A tutorial and survey von Saleh, Alzayat, Sheaves, Marcus, Jerry, Dean, Rahimi Azghadi, Mostafa

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MFLD-net: a lightweight deep learning network for fish morphometry using landmark detection von Saleh, Alzayat, Jones, David, Jerry, Dean, Azghadi, Mostafa Rahimi

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WeedCLR: Weed contrastive learning through visual representations with class-optimized loss in long-tailed datasets von Saleh, Alzayat, Olsen, Alex, Wood, Jake, Philippa, Bronson, Rahimi Azghadi, Mostafa

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Prawn morphometrics and weight estimation from images using deep learning for landmark localization von Saleh, Alzayat, Hasan, Md Mehedi, Raadsma, Herman W., Khatkar, Mehar S., Jerry, Dean R., Rahimi Azghadi, Mostafa

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Computer Vision and Deep Learning for Fish Classification in Underwater Habitats: A Survey von Alzayat Saleh, Sheaves, Marcus, Mostafa Rahimi Azghadi

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A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images von Alzayat Saleh, Laradji, Issam H, Lammie, Corey, Vazquez, David, Flavell, Carol A, Mostafa Rahimi Azghadi

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A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis von Alzayat Saleh, Laradji, Issam H, Konovalov, Dmitry A, Bradley, Michael, Vazquez, David, Sheaves, Marcus

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Underwater Fish Detection with Weak Multi-Domain Supervision von Konovalov, Dmitry A, Alzayat Saleh, Bradley, Michael, Mangalam Sankupellay, Marini, Simone, Sheaves, Marcus

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Estimating Mass of Harvested Asian Seabass Lates calcarifer from Images von Konovalov, Dmitry A., Saleh, Alzayat, Domingos, Jose A., White, Ronald D., Jerry, Dean R.

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Learning from the Giants: A Practical Approach to Underwater Depth and Surface Normals Estimation von Saleh, Alzayat, Olsen, Melanie, Senadji, Bouchra, Azghadi, Mostafa Rahimi

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Adaptive Uncertainty Distribution in Deep Learning for Unsupervised Underwater Image Enhancement von Saleh, Alzayat, Sheaves, Marcus, Jerry, Dean, Azghadi, Mostafa Rahimi

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A lightweight Transformer-based model for fish landmark detection von Saleh, Alzayat, Jones, David, Jerry, Dean, Azghadi, Mostafa Rahimi

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Semi-Supervised Weed Detection for Rapid Deployment and Enhanced Efficiency von Saleh, Alzayat, Olsen, Alex, Wood, Jake, Philippa, Bronson, Azghadi, Mostafa Rahimi

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Unsupervised Fish Trajectory Tracking and Segmentation von Saleh, Alzayat, Sheaves, Marcus, Jerry, Dean, Azghadi, Mostafa Rahimi

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ShadowRemovalNet: Efficient Real-Time Shadow Removal von Saleh, Alzayat, Olsen, Alex, Wood, Jake, Philippa, Bronson, Azghadi, Mostafa Rahimi

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