Publications associées à Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation

Publications associées (7)

Using Motion Cues to Supervise Single-Frame Body Pose and Shape Estimation in Low Data Regimes

Pascal Fua, Mathieu Salzmann, Andrey Davydov

When enough annotated training data is available, supervised deep-learning. algorithms excel at estimating human body pose and shape using a single camera. The effects of too little such data being available can be mitigated by using other information sour ...

Journal of Machine Learning Research Inc.2024

Latent Wander: an Alternative Interface for Interactive and Serendipitous Discovery of Large AV Archives

Yuchen Yang

Audiovisual (AV) archives are invaluable for holistically preserving the past. Unlike other forms, AV archives can be difficult to explore. This is not only because of its complex modality and sheer volume but also the lack of appropriate interfaces beyond ...

Assoc Computing Machinery2023

Printed Electronics Technologies for Additive Manufacturing of Hybrid Electronic Sensor Systems

Sandro Carrara, Johanna Zikulnig

Requirements for the miniaturization of electronics are constantly increasing as more and more functions are aimed to be integrated into a single device. At the same time, there are strong demands for low-cost manufacturing, environmental compatibility, ra ...

WILEY2023

Semantic Segmentation of Remote Sensing Images With Sparse Annotations

Devis Tuia

Training convolutional neural networks (CNNs) for very high-resolution images requires a large quantity of high-quality pixel-level annotations, which is extremely labor-intensive and time-consuming to produce. Moreover, professional photograph interpreter ...

2022

A convolutional neural network segments yeast microscopy images with high accuracy

Matthias Minder, Anne-Florence Raphaëlle Bitbol, Martin Weigert, Sahand Jamal Rahi, Mateusz Kozinski, Vojislav Gligorovski, Nicola Dietler, Chun Hei Michael Chan, Denis Alain Henri Lucien Joly, Ahmad Sadeghi, Augoustina Maria Economou

The identification of cell borders ('segmentation') in microscopy images constitutes a bottleneck for large-scale experiments. For the model organism Saccharomyces cerevisiae, current segmentation methods face challenges when cells bud, crowd, or exhibit i ...

Nature Research2020

Locally Refinable Parametric Snakes

Michaël Unser, Daniel Andreas Schmitter, Anaïs Laure Marie-Thérèse Badoual

Shape segmentation is an active field of research in biomedical imaging. In this context, we present a new parameterization of a snake that is locally refinable. We introduce the possibility of locally increasing the approximation power of the parametric m ...

IEEE2015

Image segmentation with variational active contours

Xavier Bresson

An important branch of computer vision is image segmentation. Image segmentation aims at extracting meaningful objects lying in images either by dividing images into contiguous semantic regions, or by extracting one or more specific objects in images such ...

EPFL2005