Search Results for author: Philipe A. Dias

Found 5 papers, 1 papers with code

Probabilistic Semantic Segmentation Refinement by Monte Carlo Region Growing

no code implementations12 May 2020 Philipe A. Dias, Henry Medeiros

Experiments using multiple modern semantic segmentation networks and benchmark datasets demonstrate the effectiveness of our approach for the refinement of segmentation predictions at different levels of coarseness, as well as the suitability of the variance estimates obtained in the Monte Carlo iterations as uncertainty measures that are highly correlated with segmentation accuracy.

Semantic Segmentation

Gaze Estimation for Assisted Living Environments

no code implementations19 Sep 2019 Philipe A. Dias, Damiano Malafronte, Henry Medeiros, Francesca Odone

Effective assisted living environments must be able to perform inferences on how their occupants interact with one another as well as with surrounding objects.

Gaze Estimation Pose Estimation +1

FreeLabel: A Publicly Available Annotation Tool based on Freehand Traces

2 code implementations18 Feb 2019 Philipe A. Dias, Zhou Shen, Amy Tabb, Henry Medeiros

Large-scale annotation of image segmentation datasets is often prohibitively expensive, as it usually requires a huge number of worker hours to obtain high-quality results.

Semantic Segmentation

Apple Flower Detection using Deep Convolutional Networks

no code implementations17 Sep 2018 Philipe A. Dias, Amy Tabb, Henry Medeiros

To optimize fruit production, a portion of the flowers and fruitlets of apple trees must be removed early in the growing season.

Semantic Segmentation Refinement by Monte Carlo Region Growing of High Confidence Detections

no code implementations21 Feb 2018 Philipe A. Dias, Henry Medeiros

The re-labeling approach employs a region growing mechanism that aggregates these pixels to neighboring areas with high confidence scores and similar appearance.

Semantic Segmentation

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