Multi-scale Logo detection algorithm based on convolutional neural network
Aiming at the requirements for multi-scale Logo detection in natural scene images,a multi-scale Logo detection algorithm based on convolutional neural network was proposed.The algorithm was based on the realization of two-stage object detection.By constructing feature pyramids and adopting layer-by-...
Saved in:
| Main Authors: | Yuchao JIANG, Lixin JI, Chao GAO, Shaomei LI |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
POSTS&TELECOM PRESS Co., LTD
2020-04-01
|
| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020026 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Yoga pose recognition using dual structure convolutional neural network
by: Xiang Meng, et al.
Published: (2025-05-01) -
Identification of Vehicle Logos in Deep Learning: A Comprehensive Survey
by: Mustafa Noaman Kadhim, et al.
Published: (2025-03-01) -
Optimizing VGG16 deep learning model with enhanced hunger games search for logo classification
by: Mohammed Hussain, et al.
Published: (2024-12-01) -
Convolution Smooth: A Post-Training Quantization Method for Convolutional Neural Networks
by: Yongyuan Chen, et al.
Published: (2025-01-01) -
Face recognition method based on convolutional neural network and distributed computing
by: Liu Yanyu, et al.
Published: (2025-04-01)