Publication

Joint Pose Estimator and Feature Learning for Object Detection

Publications associées (90)

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

Joint Pose Estimator and Feature Learning for Object Detection

Graph Chatbot

Chattez avec Graph Search

Dictionary learning for fast classification based on soft-thresholding

Transfer Learning Through Greedy Subset Selection

Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma

Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma

Transfer Learning through Greedy Subset Selection

Efficient Sample Mining for Object Detection

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Sample Distillation for Object Detection and Image Classification

Classification of selectively constrained DNA elements using feature vectors and rule-based classifiers

Adaptive Sampling for Large Scale Boosting

Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma

Dictionary learning for fast classification based on soft-thresholding

Classification of selectively constrained DNA elements using feature vectors and rule-based classifiers

Efficient Sample Mining for Object Detection

Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Adaptive Sampling for Large Scale Boosting

Transfer Learning through Greedy Subset Selection

Transfer Learning Through Greedy Subset Selection

Sample Distillation for Object Detection and Image Classification