Application of deep learning in object detection

By Xinyi Zhou, Wei Gong, Wenlong Fu, Fengtong Du. International Conference on Interaction Sciences, 2017

355 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/9c11b1552748c697bbfd33c157f7b7875686eb10

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. V. Kulkarni
2. A. V. Divekar
3. Ishika Naik
4. Munish Kumar
5. Halil Ibrahim Aysel
6. Xiaohao Cai
7. Shrey Srivast
8. Khaled Alomar

In Industrial and Manufacturing Engineering

1. Liquan Zhao
2. Shuaiyang Li

Citations in the corpus

• Convolutional neural network: a review of models, methodologies and applications to object detection (2019, background): “Convolutional neural networks (CNN), first introduced by Fukushima [17] in 1998, have wide applications in activity recognition [18, 19], sentence classification [20], text recognition [21], face recognition [22], object detection and localization [23, 24], image characterization [25], etc.”
• State-of-the-art in artificial neural network applications: A survey (2018, methodology): “The research by Zhou et al. [37] presents an application of DL in object detection task and its speedy use in the domain of computer vision.”
• Object Detection Algorithm Based on Improved YOLOv3 (2020, methodology): “In recent years, deep learning techniques have been applied in object detection [9].”
• Deep Learning and Medical Diagnosis: A Review of Literature (2018, neutral): “Deep learning has already found its application in transportation and greenhouse-gas emission control [68], traffic control [69], text classification [8,70], object detection [71], speech detection [72,73], translation [74] and in other fields.”
• Comparative analysis of deep learning image detection algorithms (2020, methodology): “[1] This paper describes the role of deep learning technique by using CNN for object detection.”
• A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning (2019, background): “Zhou et al. [74] presented the architecture and the algorithms of deep learning in an application of object detection task.”
• Data Augmentation in Classification and Segmentation: A Survey and New Strategies (2023, methodology): “Deep neural networks, like convolutional neural networks (CNNs), have been used in computer vision with numerous research applications, such as action recognition [1,2], object detection and localisation [3,4], face recognition [5], and image characterisation [6].”