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A convnet for non-maximum suppression

A convnet for non-maximum suppression

19 November 2015
J. Hosang
Rodrigo Benenson
Bernt Schiele
ArXivPDFHTML

Papers citing "A convnet for non-maximum suppression"

6 / 6 papers shown
Title
Beta R-CNN: Looking into Pedestrian Detection from Another Perspective
Beta R-CNN: Looking into Pedestrian Detection from Another Perspective
Zixuan Xu
Banghuai Li
Ye Yuan
A. Dang
39
33
0
23 Oct 2022
Progressive End-to-End Object Detection in Crowded Scenes
Progressive End-to-End Object Detection in Crowded Scenes
Anlin Zheng
Yuang Zhang
Xinming Zhang
Xiao Qi
Jian Sun
ObjD
19
60
0
15 Mar 2022
ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware
  Priors
ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors
Rohun Tripathi
Vasu Singla
Mahyar Najibi
Bharat Singh
Abhishek Sharma
L. Davis
16
2
0
19 Jul 2020
Visibility Guided NMS: Efficient Boosting of Amodal Object Detection in
  Crowded Traffic Scenes
Visibility Guided NMS: Efficient Boosting of Amodal Object Detection in Crowded Traffic Scenes
Nils Gählert
Silvio
Uwe Franke
Joachim Denzler
ObjD
21
20
0
15 Jun 2020
Seeing without Looking: Contextual Rescoring of Object Detections for AP
  Maximization
Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization
Lourenço V. Pato
Renato M. P. Negrinho
P. Aguiar
ObjD
57
19
0
27 Dec 2019
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
24
123
0
10 Sep 2018
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