Publication

A Real-Time Deformable Detector

Publications associées (41)

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

A Real-Time Deformable Detector

Graph Chatbot

Chattez avec Graph Search

Learning From Heterogeneous Data Based on Social Interactions Over Graphs

Improving Few-Shot Object Detection with Object Part Proposals

Automation of the diagnosis process in the railway system : Detection of defects in concrete sleepers using vision-based machine learning models

Improving filling level classification with adversarial training

Hardware Implementation of a Smart Camera with Keypoint Detection and Description

Object Detection with Active Sample Harvesting

Object Detection with Active Sample Harvesting

Detection of mini-UAVs in the presence of strong topographic relief - a multi-sensor perspective

Efficient Sample Mining for Object Detection

Sample Distillation for Object Detection and Image Classification

Learning From Heterogeneous Data Based on Social Interactions Over Graphs

Object Detection with Active Sample Harvesting

Efficient Sample Mining for Object Detection

Improving Few-Shot Object Detection with Object Part Proposals

Object Detection with Active Sample Harvesting

Hardware Implementation of a Smart Camera with Keypoint Detection and Description

Automation of the diagnosis process in the railway system : Detection of defects in concrete sleepers using vision-based machine learning models

Improving filling level classification with adversarial training

Detection of mini-UAVs in the presence of strong topographic relief - a multi-sensor perspective

Sample Distillation for Object Detection and Image Classification