Face detection using deep learning: An improved faster RCNN approach
In this paper, we present a new face detection scheme using deep learning and achieve the state-of-the-art detection performance on the well-known FDDB face detection benchmark evaluation. In particular, we improve the state-of-the-art Faster RCNN framework by combining a number of strategies, inclu...
Saved in:
Main Authors: | SUN, Xudong, WU, Pengcheng, HOI, Steven C. H. |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2018
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/3998 https://ink.library.smu.edu.sg/context/sis_research/article/5000/viewcontent/Face_detection_using_deep_learning__An_improved_faster_RCNN_approach.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Feature fusion with covariance matrix regularization in face recognition
by: Lu, Ze, et al.
Published: (2018) -
Detection of Various Dental Conditions on Dental Panoramic Radiography Using Faster R-CNN
by: Chen, Shih Lun, et al.
Published: (2023) -
Face recognition with accessories using CNN
by: Muhammad Shafiq B Ninaba
Published: (2024) -
Region average pooling for context-aware object detection
by: KUAN, Kingsley, et al.
Published: (2017) -
User’s intent detection in education
by: Van, Thi Hoai Thuong
Published: (2020)