Recognizing jumbled images: The role of local and global information in image classification

By Devi Parikh. 2011

45 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

How researchers see this paper

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

In Artificial Intelligence

1. Samuel F. Dodge
2. Ali Borji
3. Lina Karam
4. Laurent Itti
5. Ming-Ming Cheng
6. Deng-Ping Fan

In Computer Vision and Pattern Recognition

1. Ali Borji
2. Samuel F. Dodge
3. Lina Karam
4. Ming-Ming Cheng
5. Laurent Itti
6. Jianbing Shen
7. Wenguan Wang
8. Ming-Hsuan Yang

Citations in the corpus

• A Study and Comparison of Human and Deep Learning Recognition Performance under Visual Distortions (2017, background): “Parikh [9] tested human and computer performance on jumbled images.”
• Human vs. Computer in Scene and Object Recognition (2014, background): “Test 4: Local or global information: Recognition of jumbled images Human performance on jumbled images depends on the level of image blocking [23] (here 65%).”