Search Results for author: Ferran Marques

Found 11 papers, 6 papers with code

RVOS: End-to-End Recurrent Network for Video Object Segmentation

1 code implementation CVPR 2019 Carles Ventura, Miriam Bellver, Andreu Girbau, Amaia Salvador, Ferran Marques, Xavier Giro-i-Nieto

Multiple object video object segmentation is a challenging task, specially for the zero-shot case, when no object mask is given at the initial frame and the model has to find the objects to be segmented along the sequence.

One-shot visual object segmentation Unsupervised Video Object Segmentation +1

Recurrent Neural Networks for Semantic Instance Segmentation

1 code implementation2 Dec 2017 Amaia Salvador, Miriam Bellver, Victor Campos, Manel Baradad, Ferran Marques, Jordi Torres, Xavier Giro-i-Nieto

We present a recurrent model for semantic instance segmentation that sequentially generates binary masks and their associated class probabilities for every object in an image.

Instance Segmentation Semantic Segmentation

Hierarchical Object Detection with Deep Reinforcement Learning

1 code implementation11 Nov 2016 Miriam Bellver, Xavier Giro-i-Nieto, Ferran Marques, Jordi Torres

We argue that, while this loss seems unavoidable when working with large amounts of object candidates, the much more reduced amount of region proposals generated by our reinforcement learning agent allows considering to extract features for each location without sharing convolutional computation among regions.

Object Detection Region Proposal

Faster R-CNN Features for Instance Search

3 code implementations29 Apr 2016 Amaia Salvador, Xavier Giro-i-Nieto, Ferran Marques, Shin'ichi Satoh

This work explores the suitability for instance retrieval of image- and region-wise representations pooled from an object detection CNN such as Faster R-CNN.

Instance Search Object Detection +1

Bags of Local Convolutional Features for Scalable Instance Search

2 code implementations15 Apr 2016 Eva Mohedano, Amaia Salvador, Kevin McGuinness, Ferran Marques, Noel E. O'Connor, Xavier Giro-i-Nieto

This work proposes a simple instance retrieval pipeline based on encoding the convolutional features of CNN using the bag of words aggregation scheme (BoW).

Instance Search

Multiresolution hierarchy co-clustering for semantic segmentation in sequences with small variations

no code implementations ICCV 2015 David Varas, Mónica Alfaro, Ferran Marques

This paper presents a co-clustering technique that, given a collection of images and their hierarchies, clusters nodes from these hierarchies to obtain a coherent multiresolution representation of the image collection.

Boundary Detection Semantic Segmentation +2

Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation

1 code implementation3 Mar 2015 Jordi Pont-Tuset, Pablo Arbelaez, Jonathan T. Barron, Ferran Marques, Jitendra Malik

We propose a unified approach for bottom-up hierarchical image segmentation and object proposal generation for recognition, called Multiscale Combinatorial Grouping (MCG).

BSDS500 Object Proposal Generation +1

Region-based Particle Filter for Video Object Segmentation

no code implementations CVPR 2014 David Varas, Ferran Marques

We present a video object segmentation approach that extends the particle filter to a region-based image representation.

Semantic Segmentation Video Object Segmentation +1

Multiscale Combinatorial Grouping

no code implementations CVPR 2014 Pablo Arbelaez, Jordi Pont-Tuset, Jonathan T. Barron, Ferran Marques, Jitendra Malik

We propose a unified approach for bottom-up hierarchical image segmentation and object candidate generation for recognition, called Multiscale Combinatorial Grouping (MCG).

BSDS500 Semantic Segmentation

Measures and Meta-Measures for the Supervised Evaluation of Image Segmentation

no code implementations CVPR 2013 Jordi Pont-Tuset, Ferran Marques

First, it surveys and structures the measures used to compare the segmentation results with a ground truth database; and proposes a new measure: the precision-recall for objects and parts.

Semantic Segmentation

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