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MFL-YOLO: An Object Detection Model for Damaged Traffic Signs

MFL-YOLO: An Object Detection Model for Damaged Traffic Signs

13 September 2023
Tengyang Chen
Jiangtao Ren
ArXivPDFHTML

Papers citing "MFL-YOLO: An Object Detection Model for Damaged Traffic Signs"

6 / 6 papers shown
Title
YOLOv6: A Single-Stage Object Detection Framework for Industrial
  Applications
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications
Chuyin Li
Lu Li
Hongliang Jiang
Kaiheng Weng
Yifei Geng
...
Linyuan Zhou
Xiaoming Xu
Xiangxiang Chu
Xiaoming Wei
Xiaolin K. Wei
ObjD
85
1,753
0
07 Sep 2022
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image
  Classification
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
Dongliang Chang
Yifeng Ding
Jiyang Xie
A. Bhunia
Xiaoxu Li
Zhanyu Ma
Ming Wu
Jun Guo
Yi-Zhe Song
51
305
0
11 Feb 2020
EfficientDet: Scalable and Efficient Object Detection
EfficientDet: Scalable and Efficient Object Detection
Mingxing Tan
Ruoming Pang
Quoc V. Le
58
4,996
0
20 Nov 2019
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
38
21,306
0
08 Apr 2018
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
197
8,030
0
13 Aug 2016
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
507
36,643
0
08 Jun 2015
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