Learning discriminative and transformation covariant local feature detectors.

Computer Vision and Pattern Recognition 2017 Xu ZhangFelix X. YuSvebor KaramanShih-Fu Chang

Robust covariant local feature detectors are important for detecting local features that are (1) discriminative of the image content and (2) can be repeatably detected at consistent locations when the image undergoes diverse transformations.Such detectors are critical for applications such as image search and scene reconstruction. Many learningbased local feature detectors address one of these two problems while overlooking the other... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet