Exhaustive Geometric Verification for Image Retrieval Accepted for ECCV 2012

By Henrik Stew´enius, Steinar H. Gunderson, Julien Pilet, Google Switzerland

Subfields: 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 Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Trevor Darrell
3. Dacheng Tao
4. Xiaogang Wang
5. Jitendra Malik
6. Andrew Zisserman
7. Cordelia Schmid
8. Ming-Hsuan Yang

In Information Retrieval & Search

1. Yixuan Li
2. L. V. D. van der Maaten
3. Manohar Paluri
4. Ross B. Girshick
5. Vignesh Ramanathan
6. Kaiming He

Citations in the corpus

• Exploring the Limits of Weakly Supervised Pretraining (2018, background): “Several other works have trained models on web-scale image data for other purposes, such as face recognition [43,44] and similarity search [45,46], but to the best of our knowledge, we are the first to report the results of experiments that involve training convolutional networks from scratch on bil”