A survey on underwater computer vision
SP González-Sabbagh, A Robles-Kelly - ACM Computing Surveys, 2023 - dl.acm.org
Underwater computer vision has attracted increasing attention in the research community
due to the recent advances in underwater platforms such as of rovers, gliders, autonomous …
due to the recent advances in underwater platforms such as of rovers, gliders, autonomous …
[HTML][HTML] Applications of deep learning in fish habitat monitoring: A tutorial and survey
Marine ecosystems and their fish habitats are becoming increasingly important due to their
integral role in providing a valuable food source and conservation outcomes. Due to their …
integral role in providing a valuable food source and conservation outcomes. Due to their …
Twin adversarial contrastive learning for underwater image enhancement and beyond
Underwater images suffer from severe distortion, which degrades the accuracy of object
detection performed in an underwater environment. Existing underwater image …
detection performed in an underwater environment. Existing underwater image …
Implicit neural representation for cooperative low-light image enhancement
The following three factors restrict the application of existing low-light image enhancement
methods: unpredictable brightness degradation and noise, inherent gap between metric …
methods: unpredictable brightness degradation and noise, inherent gap between metric …
Target oriented perceptual adversarial fusion network for underwater image enhancement
Due to the refraction and absorption of light by water, underwater images usually suffer from
severe degradation, such as color cast, hazy blur, and low visibility, which would degrade …
severe degradation, such as color cast, hazy blur, and low visibility, which would degrade …
SGUIE-Net: Semantic attention guided underwater image enhancement with multi-scale perception
Due to the wavelength-dependent light attenuation, refraction and scattering, underwater
images usually suffer from color distortion and blurred details. However, due to the limited …
images usually suffer from color distortion and blurred details. However, due to the limited …
Beyond single reference for training: Underwater image enhancement via comparative learning
K Li, L Wu, Q Qi, W Liu, X Gao, L Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the wavelength-dependent light absorption and scattering, the raw underwater
images are usually inevitably degraded. Underwater image enhancement (UIE) is of great …
images are usually inevitably degraded. Underwater image enhancement (UIE) is of great …
Computer vision and deep learning for fish classification in underwater habitats: A survey
Marine scientists use remote underwater image and video recording to survey fish species
in their natural habitats. This helps them get a step closer towards understanding and …
in their natural habitats. This helps them get a step closer towards understanding and …
Transferability estimation using bhattacharyya class separability
Transfer learning has become a popular method for leveraging pre-trained models in
computer vision. However, without performing computationally expensive fine-tuning, it is …
computer vision. However, without performing computationally expensive fine-tuning, it is …
What a mess: Multi-domain evaluation of zero-shot semantic segmentation
While semantic segmentation has seen tremendous improvements in the past, there are still
significant labeling efforts necessary and the problem of limited generalization to classes …
significant labeling efforts necessary and the problem of limited generalization to classes …