Finding Four-Leaf Clovers: A Benchmark for Fine-Grained Object - PowerPoint PPT Presentation

Finding Four-Leaf Clovers: A Benchmark for Fine-Grained Object Localization Gustavo Pérez * , Laura Bravo * , Alejandro Pardo * , Pablo Arbeláez *Indicates equal contribution 01/15

Finding Four-Leaf Clovers Goal: to create a reliable benchmark for fine-grained object localization problems Other fine-grained object localization problems: Cancer diagnosis Detecting infected (Medicine) crops (Biology) Finding a specific Identifying cells in person in a crowd mitosis (Medicine) (Industry) Available at: tinyurl.com/yy9rbbsu 02/15

Finding Four-Leaf Clovers High intra-class variability Low inter-class variability Available at: tinyurl.com/yy9rbbsu 03/15

Finding Four-Leaf Clovers Highly un-balanced Available at: tinyurl.com/yy9rbbsu 04/15

Finding Four-Leaf Clovers Available at: tinyurl.com/yy9rbbsu 05/15

Finding Four-Leaf Clovers Available at: tinyurl.com/yy9rbbsu 06/15

The Four-Leaf Clover Dataset Examples of the level of detail in segmentation annotations of the FLC dataset Available at: tinyurl.com/yy9rbbsu 07/15

The Four-Leaf Clover Dataset FLC dataset statistics. 4-leaf clover pixels and 4-leaf clover boundary pixels refer to the rate of the total of positive pixels over the total of pixels in the FLC dataset. Available at: tinyurl.com/yy9rbbsu 08/15

Challenges of the FLC Dataset Available at: tinyurl.com/yy9rbbsu 09/15

Tasks Available at: tinyurl.com/yy9rbbsu 10/15

Experiments Available at: tinyurl.com/yy9rbbsu 11/15

Experiments Available at: tinyurl.com/yy9rbbsu 12/15

Experiments Available at: tinyurl.com/yy9rbbsu 13/15

Experiments Available at: tinyurl.com/yy9rbbsu 14/15

→ In case you wonder... 8 -leaf clover Thank you! Available at: tinyurl.com/yy9rbbsu 15/15

Comparison to Other Datasets Comparison of FLC to major visual recognition datasets. Club (♣) indicates that a dataset allows to study a recognition problem at a fine-grained level, triangle (Δ) indicates that the version of the problem is not fine-grained, and (×) indicates that a dataset does not allow to study a problem. Available at: tinyurl.com/yy9rbbsu