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

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

Sep 10, 2022 317 likes •492 views

Finding Four-Leaf Clovers: A Benchmark for Fine-Grained Object Localization Gustavo Prez * , Laura Bravo * , Alejandro Pardo * , Pablo Arbelez *Indicates equal contribution 01/15 Finding Four-Leaf Clovers Goal: to create a reliable benchmark

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Finding Four-Leaf Clovers: A Benchmark for Fine-Grained Object Localization

Gustavo Pérez*, Laura Bravo*, Alejandro Pardo*, Pablo Arbeláez

01/15

*Indicates equal contribution

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Finding Four-Leaf Clovers

Goal: to create a reliable benchmark for fine-grained object localization problems Other fine-grained object localization problems: Cancer diagnosis (Medicine) Identifying cells in mitosis (Medicine) Detecting infected crops (Biology) Finding a specific person in a crowd (Industry)

Available at: tinyurl.com/yy9rbbsu

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Finding Four-Leaf Clovers

High intra-class variability Low inter-class variability

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Finding Four-Leaf Clovers

Highly un-balanced

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Finding Four-Leaf Clovers

Available at: tinyurl.com/yy9rbbsu

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Finding Four-Leaf Clovers

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The Four-Leaf Clover Dataset

Examples of the level of detail in segmentation annotations of the FLC dataset

Available at: tinyurl.com/yy9rbbsu

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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.

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Challenges of the FLC Dataset

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Tasks

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Experiments

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Experiments

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Experiments

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Experiments

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Thank you!

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8-leaf clover →

In case you wonder...

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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.

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