Learning to Rank Using User Clicks and Visual Features for Image Retrieval

By Jun Yu, Dacheng Tao, Meng Wang, Yong Rui. IEEE Transactions on Cybernetics, 2015

426 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/aea70faf2bb66df07ba35ae84aa289f1fc7b1c50

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. Xiangyu He
2. Jian Cheng
3. Peisong Wang
4. Anda Cheng
5. Qiang Chen
6. Liang Wang

Citations in the corpus

• SpatialFlow: Bridging All Tasks for Panoptic Segmentation (2019, background): “These methods have dramatically improved the state-of-the-art in many vision tasks, including image recognition[23], [25], [26], [27], [28], [29], [30], image retrieval [31], [32], metric learning [33], [34], [35], object detection [36], [37], [19], image segmentation [38], [39], [4], human pose est”