EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection-Reference-Cited by-同舟云学术

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EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection

Published:2024-01-03 Issue: Volume:34 Page:977-987
ISSN:
Container-title:2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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Author:

Jeong Joonhyun¹,Kim Beomyoung¹,Yu Joonsang¹,Yoo YoungJoon¹

Affiliation:

1. NAVER Cloud, ImageVision

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10483279/10483282/10483628.pdf?arnumber=10483628

Reference61 articles.

1. Blazeface: Sub-millisecond neural face detection on mobile gpus;Bazarevsky,2019

2. Revisiting resnets: Improved training and scaling strategies;Bello;Advances in Neural Information Processing Systems,2021

3. Cascade R-CNN: Delving Into High Quality Object Detection

4. Emface: Detecting hard faces by exploring receptive field pyraminds;Cao,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Filter-Pruning of Lightweight Face Detectors Using a Geometric Median Criterion;2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW);2024-01-01

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