20 дек. 2019 г. · Object detection is proposed for classifying and localizing every object in the bounding box. Time complexities are reduced in the detection ...

The depth of CNNs allows them to capture complex patterns and relationships within images, leading to highly accurate predictions. CNNs have found uses in many ...

This paper mainly focus on the application of deep learning architectures to three major applications, namely (i) wild animal detection, (ii) small arm ...

We mainly focus on the application of deep learning architectures to three major applications, namely (i) wild animal detection, (ii) small arm detection and ( ...

Convolutional neural network: a review of models, methodologies and applications to object detection. https://doi.org/10.1007/s13748-019-00203-0.

In this chapter, we have reviewed some popular state-of-the-art object detection models based on CNN. We have made a categorization of those detection models ...

1 июн. 2024 г. · This section analyzes and summarizes the object detection methods based on CNN, and it can be divided into four part: Part 1, introduce the ...

5 мая 2019 г. · In this chapter, we have explained different state-of-the-art CNN based object detection models. We have made this review with categorization those detection ...

This paper shows a detailed survey on recent advancements and achievements in object detection using various deep learning techniques.

This paper presented an analysis performance of deep learning object detector by combining a deep learning Convolutional Neural Network (CNN) for object ...