CNN Adaptations for Boat Detection in Aerial Images Tested on Yolo v2

Zerrouk, Ilham; Moumen, Younes; Khiati, Wassim; Habchi, Ali El; Berrich, Jamal; Bouchentouf, Toumi

doi:10.1109/isaect50560.2020.9523704

Cited by 8 publications

(2 citation statements)

References 10 publications

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“…Some examples are in Figure 3. It was chosen due to the difficulty of finding a good network architecture that both provides good average precision and time [24]. It is thus a good playing ground for optimizing a neural network using evolution.…”

Section: Experiments and Resultsmentioning

confidence: 99%

Evolutionary Algorithm for Optimized CNN Architecture Search Applied to Real-Time Boat Detection in Aerial Images

Zerrouk

Moumen²,

Khiati

et al. 2023

Preprint

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When processing the detection of boats on aerial images by neural networks, we have always been concerned about the execution time of these networks in the equipment on board the Unmanned AerialVehicle (UAV). The UAV, throughout its mission, will capture images that must be processed in realtime. For this, an execution time optimized network is essential. This article proposes a method for searching for optimized detection networks, for a given dataset, using an evolutionary algorithm. The search uses mutations as a mechanism of evolution that affect the structure of the network and the hyper-parameters of its layers. Its fitness function allows the choice of architectures that are not very greedy in terms of operations favoring small networks whose advantages are to be fast and quick to train and thus to accelerate the search algorithm. Thanks to this method we were able to obtain detection networks with performance similar to the initial network (parent) but with much fewer operations allowing considerable gains in terms of execution times in an environment embedded on a drone.

show abstract

Section: Experiments and Resultsmentioning

confidence: 99%

Evolutionary Algorithm for Optimized CNN Architecture Search Applied to Real-Time Boat Detection in Aerial Images

Zerrouk

Moumen²,

Khiati

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Some examples are in Figure 2. It was chosen due to the difficulty of finding a good network architecture that both provides good inference precision and time [21]. It is thus a good playing ground for optimizing a neural network using evolution.…”

Section: Methodsmentioning

confidence: 99%

Evolutionary Algorithm for Optimized CNN Architecture Search Applied to Real-Time Boat Detection in Aerial Images

Zerrouk

Moumen²,

Khiati

et al. 2023

Preprint

View full text Add to dashboard Cite

When processing the detection of boats on aerial images by neural networks, we have always been concernedabout the execution time of these networks in the equipment on board the Unmanned AerialVehicle (UAV). The UAV, throughout its mission, will capture images that must be processed in realtime. For this, an execution time optimized network is essential. This article proposes a method forsearching for optimized detection networks, for a given dataset, using an evolutionary algorithm. Theresearch uses mutations as a mechanism of evolution that affect the structure of the network and thehyper-parameters of its layers. Its fitness function allows the choice of architectures that are not verygreedy in terms of operations favoring small networks whose advantages are to be fast and quick totrain and thus to accelerate the search algorithm. Thanks to this method we were able to obtain detectionnetworks with performance similar to the initial network (parent) but with much fewer operationsallowing considerable gains in terms of execution times in an environment embedded on a drone.

show abstract

State of Charge Estimation for 18650 Lithium-Ion Batteries: A Comparative Analysis Using Technical Specifications from Three Leading Manufacturers

Khiati,

Habchi,

Zerrouk

et al. 2024

Lecture Notes in Networks and Systems

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CNN Adaptations for Boat Detection in Aerial Images Tested on Yolo v2

Cited by 8 publications

References 10 publications

Evolutionary Algorithm for Optimized CNN Architecture Search Applied to Real-Time Boat Detection in Aerial Images

Evolutionary Algorithm for Optimized CNN Architecture Search Applied to Real-Time Boat Detection in Aerial Images

Evolutionary Algorithm for Optimized CNN Architecture Search Applied to Real-Time Boat Detection in Aerial Images

State of Charge Estimation for 18650 Lithium-Ion Batteries: A Comparative Analysis Using Technical Specifications from Three Leading Manufacturers

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