Search Results for author: Cristina Mata

Found 2 papers, 0 papers with code

StandardSim: A Synthetic Dataset For Retail Environments

no code implementations4 Feb 2022 Cristina Mata, Nick Locascio, Mohammed Azeem Sheikh, Kenny Kihara, Dan Fischetti

We benchmark widely-used models for segmentation and depth estimation on our dataset, show that our test set constitutes a difficult benchmark compared to current smaller-scale datasets and that our training set provides models with crucial information for autonomous checkout tasks.

Change Detection Depth Estimation +6

Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation

no code implementations24 May 2018 Cristina Mata, Guy Ben-Yosef, Boris Katz

Many deep learning architectures for semantic segmentation involve a Fully Convolutional Neural Network (FCN) followed by a Conditional Random Field (CRF) to carry out inference over an image.

Semantic Segmentation Structured Prediction

Cannot find the paper you are looking for? You can Submit a new open access paper.