A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions
Deep learning has seen significant growth recently and is now applied to a wide range of
conventional use cases, including graphs. Graph data provides relational information …
conventional use cases, including graphs. Graph data provides relational information …
Analysis of recent techniques in marine object detection: a review
Abstract Marine Object Detection, leveraging computer vision, plays a vital role in detecting
objects in marine environments ranging from marine organisms to marine surveillance …
objects in marine environments ranging from marine organisms to marine surveillance …
Marinedet: Towards open-marine object detection
Marine object detection has gained prominence in marine research, driven by the pressing
need to unravel oceanic mysteries and enhance our understanding of invaluable marine …
need to unravel oceanic mysteries and enhance our understanding of invaluable marine …
Underwater moving target detection and tracking based on enhanced you only look once and deep simple online and realtime tracking strategy
Addressing the challenges posed by factors like light attenuation, turbid water quality, large
target scale changes, and dense distribution in underwater moving target images, we …
target scale changes, and dense distribution in underwater moving target images, we …
[HTML][HTML] Dual stream encoder–decoder architecture with feature fusion model for underwater object detection
Underwater surveillance is an imminent and fascinating exploratory domain, particularly in
monitoring aquatic ecosystems. This field offers valuable insights into underwater behavior …
monitoring aquatic ecosystems. This field offers valuable insights into underwater behavior …
Graph-based Moving Object Segmentation for underwater videos using semi-supervised learning
Moving object segmentation (MOS) using passive underwater image processing is an
important technology for monitoring marine habitats. It aids marine biologists studying …
important technology for monitoring marine habitats. It aids marine biologists studying …
A Multi-Scale Contrast Preserving Encoder-Decoder Architecture for Local Change Detection From Thermal Video Scenes
This article presents a new deep-learning architecture based on an encoder-decoder
framework that retains contrast while performing background subtraction (BS) on thermal …
framework that retains contrast while performing background subtraction (BS) on thermal …
Underwater visual surveillance: A comprehensive survey
The objective of this article is to provide a detailed review of the state-of-the-art underwater
surveillance process and the new trends of the same. Underwater surveillance has recently …
surveillance process and the new trends of the same. Underwater surveillance has recently …
Project and Pool: An Action Localization Network for Localizing Actions in Untrimmed Videos
Action recognition and localization in a video are challenging tasks in video analysis,
requiring detecting and localizing actions within video sequences. Recent research has …
requiring detecting and localizing actions within video sequences. Recent research has …
Principal Graph Neighborhood Aggregation for Underwater Moving Object Detection
Identifying and tracking mobile objects in an underwater environment is a challenging task.
Traditional methods cannot differentiate the object from the background due to the losses …
Traditional methods cannot differentiate the object from the background due to the losses …