An Evaluation of Deep Learning Methods for Small Object Detection

In this study, we evaluate current state-of-the-art models based on deep learning in both approaches such as Fast RCNN, Faster RCNN, RetinaNet, and YOLOv3.

This study evaluates current state-of-the-art models based on deep learning in both approaches such as Fast RCNN, Faster RCNN), RetinaNet, Retina net, ...

A survey and performance evaluation of deep learning methods for ...

Our experimental results show that while the detection accuracy on small objects by these deep learning methods was low, less than 0.4, Faster R ...

An Evaluation of Deep Learning Methods for Small Object Detection

However, most of the state-of-the-art detectors, both in one-stage and two-stage approaches, have struggled with detecting small objects. In ...

An Evaluation of Deep Learning Methods for Small Object Detection

Small object detection is an interesting topic in computer vision. With the rapid development in deep learning, it has drawn attention of several ...

A Survey and Performance Evaluation of Deep Learning Methods ...

Our experimental results show that while the detection accuracy on small objects by these deep learning methods was low, less than 0.4, Faster R ...

Small Object Detection Based on Deep Learning - IEEE Xplore

This paper introduces the object detection method based on deep learning. This paper mainly introduces the detection algorithm based on regional suggestion and ...

References - Scientific Research Publishing

Nguyen, N., Do, T., Ngo, T.D. and Le, D. (2020) An Evaluation of Deep Learning Methods for Small Object Detection. Journal of Electrical and Computer ...

Small Object Detection Based on Deep Learning for Remote Sensing

The DPM algorithm is an upgrade and extension of the HOG algorithm. It has a more effective technique for finding a solution to the problem of the object's ...

Deep learning-based small object detection: A survey - AIMS Press

Deep learning-based small object detection: A survey. Qihan Feng 1 ,; Xinzheng Xu 1 ,; Zhixiao Wang 1,2 , ,.

A survey and performance evaluation of deep learning methods for ...

This paper provides a comprehensive review of recently developed deep learning methods for small object detection. We summarize challenges and ...

Small Object Detection using Deep Learning - arXiv

Nowadays, the technique of object detection integrated in a security system has emerged as potential way to detect objects that may pose threats. One of the ...

Evaluation of Deep Models for Real-Time Small Object Detection

An in-depth evaluation of existing deep learning models in detecting small objects including You Only Look Once (YOLO), Single Shot MultiBox Detector (SSD), ...

ylt5b/A-Survey-and-Performance-Evaluation-of-Deep ... - GitHub

Contribute to ylt5b/A-Survey-and-Performance-Evaluation-of-Deep-Learning-Methods-for-Small-Object-Detection development by creating an account on GitHub.

Performance of Deep Learning for Small Object Detection | S-Logix

Our experimental results show that while the detection accuracy on small objects by these deep learning methods was low, less than 0.4, Faster R-CNN performed ...

A review of small object detection based on deep learning

However, small objects carry limited information, making it difficult for detectors to detect small objects. In recent years, the development of ...

Deep learning-based small object detection: A survey - PubMed

Deep learning-based small object detection: A survey ... object detection: A survey. Math Biosci Eng. 2023 Feb 2;20(4):6551-6590. doi: 10.3934/mbe.2023282.

Real-time Small Object Detection using Deep Neural Networks

The two deep learning models were implemented and then evaluated on their performance, measured in terms of precision and average inference time. The evaluation ...

A survey and performance evaluation of deep learning methods for ...

Nguyen, N., Do, T., Ngo, T., & Le, D. (2020). An Evaluation of Deep Learning Methods for Small Object Detection. 2020, 18. https://doi.org/10.1155/2020/3189691 ...

An Evaluation of Deep Learning-Based Object Identification

Recent developments in deep learning networks for detection have improved object detector accuracy. To provide a detailed review of the current state of object ...