Data-Driven Objectness

By Hongwen Kang, Martial Hebert, Alexei A. Efros, Takeo Kanade. 2015

22 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

Citations in the corpus

• Object-Proposal Evaluation Protocol is ‘Gameable’ (2015, neutral): “Many proposal methods [9–11,42–46] rely on explicit training to learn an “objectness” model, similar to DMPs.”
• How good are detection proposals, really? (2014, neutral): “[21] proposed a “data-driven objectness” approach.”
• Improving object proposals with multi-thresholding straddling expansion (2015, unknown): “In recent years, object proposal generation [3, 4, 6, 7, 8, 15, 16, 17, 18, 19, 20, 24] has become a promising technique for many vision recognition tasks, especially for class-specific object detection.”
• Salient object detection: A survey (2014, unknown): “hape priors that are derived from the associated exemplar shapes of the database, a set of object proposals is generated. Similarly, large collections of example object regions are also maintained in [187]. Objectness score of each segment of the input image can be computed based on its nearest neig”