Publication

Finger-spelling Recognition within a Collaborative Segmentation/Behavior Inference Framework

Publications associées (45)

À propos
Confidentialité
Mentions légales

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

Finger-spelling Recognition within a Collaborative Segmentation/Behavior Inference Framework

Graph Chatbot

Chattez avec Graph Search

Large-Scale Image Segmentation with Convolutional Networks

Crowding asymmetries explained by a model of image segmentation

Fast and Robust Segmentation of the Striatum Using Deep Convolutional Neural Networks

Food/Non-food Image Classification and Food Categorization using Pre-Trained GoogLeNet Model

Towards Scalable Segmentation of 3D Image Stacks

Learning Complex Sequential Tasks from Demonstration: A Pizza Dough Rolling Case Study

Learning Complex Sequential Tasks from Demonstration: A Pizza Dough Rolling Case Study

Saliency-based Representations and Multi-component Classifiers for Visual Scene Recognition

Saliency-based representations and multi-component classifiers for visual scene recognition

Unsupervised Texture Segmentation Using Monogenic Curvelets and the Potts Model

Large-Scale Image Segmentation with Convolutional Networks

Saliency-based Representations and Multi-component Classifiers for Visual Scene Recognition

Towards Scalable Segmentation of 3D Image Stacks

Learning Complex Sequential Tasks from Demonstration: A Pizza Dough Rolling Case Study

Food/Non-food Image Classification and Food Categorization using Pre-Trained GoogLeNet Model

Crowding asymmetries explained by a model of image segmentation

Fast and Robust Segmentation of the Striatum Using Deep Convolutional Neural Networks

Saliency-based representations and multi-component classifiers for visual scene recognition

Learning Complex Sequential Tasks from Demonstration: A Pizza Dough Rolling Case Study

Unsupervised Texture Segmentation Using Monogenic Curvelets and the Potts Model