Exemplar SVMs as visual feature encoders

By Joaquin Zepeda, Patrick Pérez. 2015

32 citations recorded by the source corpus.

How researchers see this paper

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

1. Jue Wang
2. Anoop Cherian
3. Fatih Murat Porikli
4. Senthil Purushwalkam
5. Stephen Gould
6. Abhinav Kumar Gupta
7. Kaiming He
8. Andrew Zisserman

Citations in the corpus

• Video Representation Learning Using Discriminative Pooling (2018, methodology): “In this respect, our pooling scheme is also different from ExemplarSVMs [29, 56, 61] that learns feature filters per data sample and then use these filters for feature extraction.”
• Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases (2020, background): “Dating back to [9, 21, 22], the task of instance discrimination involves treating an image and it’s transformed versions as one single class.”