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L2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion.

, and . CVPR Workshops, page 2286-2295. Computer Vision Foundation / IEEE, (2020)

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Detecting Marine Species in Echograms via Traditional, Hybrid, and Deep Learning Frameworks., , , , , , and . ICPR, page 5928-5935. IEEE, (2020)Enhancement of Low-Lighting Underwater Images Using Dark Channel Prior and Fast Guided Filters., , and . CVAUI/IWCF/MIPPSNA@ICPR, volume 11188 of Lecture Notes in Computer Science, page 55-65. Springer, (2018)Movement Tracks for the Automatic Detection of Fish Behavior in Videos., , , , and . CoRR, (2020)Instance Segmentation-Based Identification of Pelagic Species in Acoustic Backscatter Data., , , , , , and . CVPR Workshops, page 4378-4387. Computer Vision Foundation / IEEE, (2021)Preservation of High Frequency Content for Deep Learning-Based Medical Image Classification., , and . CRV, page 41-48. IEEE, (2021)Size-invariant Detection of Marine Vessels From Visual Time Series., , , , , , and . WACV, page 443-453. IEEE, (2021)L2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion., and . CVPR Workshops, page 2286-2295. Computer Vision Foundation / IEEE, (2020)Instance Segmentation of Herring and Salmon Schools in Acoustic Echograms using a Hybrid U-Net., , , , , , , , and . CRV, page 8-15. IEEE, (2022)TempNet: Temporal Attention Towards the Detection of Animal Behaviour in Videos., , , , and . ICPR, page 3318-3324. IEEE, (2022)