Non Maximal Suppression in Cascaded Ranking Models

By Matthew B. Blaschko, Juho Kannala, Esa Rahtu. 2013

20 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Information Retrieval & Search

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Matthieu Guillaumin
2. Luc Van Gool
3. Rasmus Rothe
4. Bernt Schiele
5. Rodrigo Benenson
6. Juergen Gall
7. Li Fei-Fei
8. Jan Hendrik Hosang

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Matthieu Guillaumin
3. Rasmus Rothe
4. Bernt Schiele
5. Ming-Hsuan Yang
6. Andrew Zisserman
7. Xiaogang Wang
8. Trevor Darrell

In Information Retrieval & Search

1. Luc Van Gool
2. Matthieu Guillaumin

Citations in the corpus

• Non-maximum Suppression for Object Detection by Passing Messages Between Windows (2014, background): “In [17], a re-ranking cascade model is proposed where a standard greedy NMS is used at every step to favor sparse responses.”